语料库 OCR 待核对照表
PDF 经 MinerU 转 Markdown 时丢失的符号(U+FFFD)。本表在 d29389a 之后
已逐处对照 papers/<同名>.pdf 的原文(含文本层与算法框)核定并回填。
判定原则:宁缺勿错。
�是诚实的"此处识别失败";猜一个错的符号则是静默篡改语料。 本次 245 处全部能在 PDF 上唯一确定,无一处保留�。
两条需要读者留意的回填说明:
- 下标写法:原文写作 N_t / N_V / α_i / t_opt 之处,MinerU 有时把下标写成相邻的
普通字符位,本表按字面字符回填(
Nt/NV/αi/opt),未擅自补_或<sub>。 - 被读成空格的 glyph:
md/2024_StopThePop…第 148 行,原文𝑡opt的中间那颗p被读成了空格(不是 U+FFFD),已一并改回p,此行另在备注列注明。
| 文件 | 行号 | 上下文 | 扫描建议 | 核定后的符号 | 备注 |
|---|---|---|---|---|---|
md/2022_A_Progress_Review_on_Solid_State_LiDAR_and_Nanophotonics.md |
81 | …rped sinusoidal TX and RX signal. The delay (∆�) is due to the moving of the sensing object.… | τ |
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md/2022_A_Progress_Review_on_Solid_State_LiDAR_and_Nanophotonics.md |
112 | …ivates the Pockels cell after a delay time of �. The optical beam from the laser is collimate… | τ |
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md/2022_InstantNGP.md |
34 | …>e number of parameters � and the desi… | T | T |
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md/2022_InstantNGP.md |
60 | …$ as a multiresolution sequence of � ∈ N sine and cosine functions… | L |
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md/2022_InstantNGP.md |
119 | … relative position of x within the respective �-th voxel. (4) we concatenate the resu</s… | l |
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md/2022_InstantNGP.md |
121 | …h table size � and max. resolu</s… | T | T |
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md/2022_InstantNGP.md |
126 | …Given a fully connected neural network �(y; Φ), we are interested in an encoding of it… | m |
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md/2022_InstantNGP.md |
126 | …sub>ng parameters �. These are <… | T | θ |
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md/2022_InstantNGP.md |
126 | …sub>arranged into � levels, each… | L | L |
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md/2022_InstantNGP.md |
126 | …on- taining up to � feature vectors with dimensionality</sub… | F / d | T |
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md/2022_InstantNGP.md |
136 | …er of levels �, the growth fac</s… | L | L |
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md/2022_InstantNGP.md |
140 | …⌊x�⌋ and ⌈x�⌉ span a … | l |
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md/2022_InstantNGP.md |
140 | …⌊x�⌋ and ⌈x�⌉ span a voxel with $2 ^ { d … | l |
||
md/2022_InstantNGP.md |
140 | …ize ofat most�. For coarse leve</… | T |
||
md/2022_InstantNGP.md |
140 | …nse grid requires fewer than � parameters, i.e. $( N _… | T | T |
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md/2022_InstantNGP.md |
148 | …>y of the � dimensions must be… | F / d | d |
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md/2022_InstantNGP.md |
150 | …b>each corner are �-linearly i<s… | d |
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md/2022_InstantNGP.md |
152 | …ub>or each of the � levels. The … | L | L |
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md/2022_InstantNGP.md |
154 | …er values of � result in higher qualit… | T |
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md/2022_InstantNGP.md |
154 | … We recommend practitioners to use � to tweak the enco<… | T |
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md/2022_InstantNGP.md |
161 | …h table size � which det<su… | T | T |
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md/2022_InstantNGP.md |
170 | …The hyperparameters � (number of levels) and � (number of feature d… | T | L |
|
md/2022_InstantNGP.md |
170 | …sub>parameters � (number of levels) and � (number of feature dimensions) also trade of … | T | F |
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md/2022_InstantNGP.md |
170 | …coding parameters � in Figure 5. In this analy</s… | T | θ |
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md/2022_InstantNGP.md |
172 | …sub>ual integer coordinates ⌊x�⌋ are not considered a collision; a coll… | l |
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md/2022_InstantNGP.md |
180 | …s ensures that the encoding enc(x; �), and by the chain rule its compos… | θ |
||
md/2022_InstantNGP.md |
180 | … rule its composition with the neural network �(enc(x; θ); Φ), are continuous. Without inter<… | m |
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md/2022_InstantNGP.md |
180 | …ctions, in which case the gradient ��(enc(x; θ); Φ)/�x, i.e. the surface normal, <s… | ∂m |
相邻两个字符位:偏导算子 ∂ 与网络函数名 m | |
md/2022_InstantNGP.md |
180 | …> in which case the gradient ��(enc(x; θ); Φ)/�x, i.e. the surface normal, would i… | ∂ |
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md/2022_InstantNGP.md |
192 | …ub>ure dimensions � per lookup d… | F / d | F |
|
md/2022_InstantNGP.md |
192 | …and, a large � favors memory coherence… | F |
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md/2022_InstantNGP.md |
225 | …b>with a fixed growth factor � = 2. To allow meaningful comp… | b |
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md/2022_InstantNGP.md |
239 | …ing application [Müller et al. 2021]. The MLP � enc(�; �); Φ is tasked with predicting phot… | m |
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md/2022_InstantNGP.md |
239 | …lication [Müller et al. 2021]. The MLP � enc(�; �); Φ is tasked with predicting photorealis… | x |
||
md/2022_InstantNGP.md |
239 | …ation [Müller et al. 2021]. The MLP � enc(�; �); Φ is tasked with predicting photorealistic… | θ |
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md/2022_InstantNGP.md |
241 | …Multiresolution hash encodin (Ours), � = 15, 133 FPS … | T |
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md/2022_InstantNGP.md |
251 | …onal features as auxiliary encoded dimensions � to be concatenated with the encoded position,… | F / d | ξ |
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md/2022_InstantNGP.md |
308 | …her than reduce (for example, by summing) the � -di-mensional fea<… | F |
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md/2022_InstantNGP.md |
308 | …> dimensionality of the encoded result y from �� to � may be too small to enco… | F / d | LF |
相邻两个字符位:L 与 F(原文写作 𝐿𝐹) |
md/2022_InstantNGP.md |
308 | …nsionality of the encoded result y from �� to � may be too small to enco</sub… | F |
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md/2022_InstantNGP.md |
308 | …b>ormation. While � could be increase<… | F |
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md/2022_InstantNGP.md |
310 | …utational cost of increasing � could be insignificant. We thus ar… | F |
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md/2022_InstantNGP.md |
310 | …tions, concatenation, coupled with � = 2 always yielded b<su… | F |
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md/2022_InstantNGP.md |
316 | …he least significant bits of Z� by a space-fillin… | d |
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md/2022_InstantNGP.md |
316 | …lly better than setting �1 := 1 as done in</… | π |
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md/2022_InstantNGP.md |
452 | …re smoother interpolation than the �-linear interpolation th… | d |
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md/2022_InstantNGP.md |
454 | …sub> using a �-quadratic <s… | d |
||
md/2022_InstantNGP.md |
454 | …ub>dratic or �-cubic int<su… | d |
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md/2022_InstantNGP.md |
460 | …to the �-linear int<s… | d |
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md/2022_InstantNGP.md |
500 | …o compute) with standard deviation �/1024, where � is the bounding <sub… | r |
||
md/2022_InstantNGP.md |
500 | …ub>ute) with standard deviation �/1024, where � is the bounding radi<su… | r |
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md/2022_InstantNGP.md |
540 | … step size proportional to the distance � along the ray c… | t |
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md/2022_InstantNGP.md |
540 | …ar { 2 } 4 } \right]$ , where � is size of th<sub… | s |
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md/2022_InstantNGP.md |
540 | …s exponential growth in �, which means that the comp</s… | t |
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md/2022_InstantNGP.md |
548 | …}$ with a constant number of levels (variable � as in Equation (3)) or log</s… | L | L |
|
md/2022_InstantNGP.md |
548 | …rithmically many levels � (constant �).… | L | L |
|
md/2022_InstantNGP.md |
548 | …ub>y many levels � (constant �).… | L | b |
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md/2022_InstantNGP.md |
552 | …/sub>ace, we maintain a cascade of � multiscale occupancy gr… | K |
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md/2022_InstantNGP.md |
552 | … occupancy grids, where � = 1 for all synthetic NeRF scenes … | K |
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md/2022_InstantNGP.md |
556 | …sub>ch one of the � grids is quer</sub… | K |
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md/2022_InstantNGP.md |
556 | …>e sample position x and the step size Δ�: among the grids covering x, the finest one w… | t |
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md/2022_InstantNGP.md |
556 | …ide-length larger than Δ� is queried.… | t |
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md/2022_InstantNGP.md |
564 | …(2) randomly sample � candidate cells, and set their value to the <… | M |
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md/2022_InstantNGP.md |
568 | …>tegy of the � candidate <s… | M |
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md/2023_3DGS.md |
108 | …ats allowing fast �-blending for… | α | α |
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md/2023_3DGS.md |
110 | …01a] centered at point (mean) �:… | μ |
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md/2023_3DGS.md |
118 | …ub>formation � the covarian… | W |
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md/2023_3DGS.md |
142 | …>o positions �, �, and cova… | p |
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md/2023_3DGS.md |
142 | …positions �, �, and covaria… | α |
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md/2023_3DGS.md |
142 | …ents representing color � of each Gaussian to correctly ca<s… | C / c | c |
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md/2023_3DGS.md |
156 | …ub>ction for � to cons</sub… | α |
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md/2023_3DGS.md |
180 | …sub> is to set the � value close t<sub… | α |
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md/2023_3DGS.md |
180 | …ub>n increases the � for the Gaus… | α |
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md/2023_3DGS.md |
180 | …ub> Gaussians with � less than $\epsil… | α |
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md/2023_3DGS.md |
187 | …b>llow approximate �-blending – including</s… | α | α |
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md/2023_3DGS.md |
189 | …pixel that hindered previous �-blending solutions [Kop… | α | α |
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md/2023_3DGS.md |
197 | …each point’s � in our back-… | α |
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md/2023_3DGS.md |
454 | …ation matrix �:… | R |
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md/2023_3DGS.md |
460 | …omponents of �:… | q |
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md/2023_3DGS.md |
473 | …�, ℎ: width an… | w |
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md/2023_3DGS.md |
474 | …� ← SfM Points ⊲ Positi<s… | M |
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md/2023_3DGS.md |
475 | …�, �, � ← InitAttributes() ⊲ Co… | S |
||
md/2023_3DGS.md |
475 | …�, �, � ← InitAttributes() ⊲ Cova<… | C |
||
md/2023_3DGS.md |
475 | …�, �, � ← InitAttributes() ⊲ Cova</su… | A |
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md/2023_3DGS.md |
476 | …� ← 0 ⊲ Iterat… | i |
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md/2023_3DGS.md |
478 | …�, ˆ� ← SampleTrainin<sub… | V |
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md/2023_3DGS.md |
478 | …�, ˆ� ← SampleTrainingView() … | I |
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md/2023_3DGS.md |
478 | …TrainingView() ⊲ Camera � and Image … | V |
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md/2023_3DGS.md |
479 | …� ← Rasterize(�, �, �, �, �) ⊲ Al<su… | I |
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md/2023_3DGS.md |
479 | …� ← Rasterize(�, �, �, �, �) ⊲ Alg. 2 … | M |
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md/2023_3DGS.md |
479 | …� ← Rasterize(�, �, �, �, �) ⊲ Alg. 2 … | S |
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md/2023_3DGS.md |
479 | …� ← Rasterize(�, �, �, �, �) ⊲ Alg. 2 … | C |
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md/2023_3DGS.md |
479 | …� ← Rasterize(�, �, �, �, �) ⊲ Alg. 2 … | A |
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md/2023_3DGS.md |
479 | …� ← Rasterize(�, �, �, �, �) ⊲ Alg. 2 … | V |
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md/2023_3DGS.md |
480 | …� ← ���� (�, ˆ�) ⊲ L… | L |
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md/2023_3DGS.md |
480 | …� ← ���� (�, ˆ�) ⊲ Loss</su… | Loss |
相邻四个字符位,组成函数名 Loss | |
md/2023_3DGS.md |
480 | …� ← ���� (�, ˆ�) ⊲ Loss … | I |
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md/2023_3DGS.md |
480 | …� ← ���� (�, ˆ�) ⊲ Loss … | I |
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md/2023_3DGS.md |
481 | …�, �, �, � ← Adam(∇�) ⊲ Backpro… | M |
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md/2023_3DGS.md |
481 | …�, �, �, � ← Adam(∇�) ⊲ Backprop</… | S |
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md/2023_3DGS.md |
481 | …�, �, �, � ← Adam(∇�) ⊲ Backprop</sub… | C |
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md/2023_3DGS.md |
481 | …�, �, �, � ← Adam(∇�) ⊲ Backprop &… | A |
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md/2023_3DGS.md |
481 | …�, �, �, � ← Adam(∇�) ⊲ Backprop & Step… | L |
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md/2023_3DGS.md |
482 | …if IsRefinementIteration(�) then … | i |
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md/2023_3DGS.md |
483 | …for all Gaussians (�, Σ, �, �) in (�, �, �, �) do … | μ |
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md/2023_3DGS.md |
483 | …for all Gaussians (�, Σ, �, �) in (�, �, �, �) do … | c |
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md/2023_3DGS.md |
483 | …for all Gaussians (�, Σ, �, �) in (�, �, �, �) do … | α |
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md/2023_3DGS.md |
483 | …for all Gaussians (�, Σ, �, �) in (�, �, �, �) do … | M |
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md/2023_3DGS.md |
483 | …for all Gaussians (�, Σ, �, �) in (�, �, �, �) do … | S |
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md/2023_3DGS.md |
483 | …for all Gaussians (�, Σ, �, �) in (�, �, �, �) do … | C |
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md/2023_3DGS.md |
483 | …for all Gaussians (�, Σ, �, �) in (�, �, �, �) do … | A |
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md/2023_3DGS.md |
484 | …if � ⊲ Pr<… | α |
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md/2023_3DGS.md |
484 | …if � ⊲ Pr… | ε |
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md/2023_3DGS.md |
484 | …if � ⊲ Pruning… | μ |
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md/2023_3DGS.md |
488 | …if ∥� ∥ then ⊲ Ove… | S |
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md/2023_3DGS.md |
489 | …SplitGaussian(�, Σ, �, �) … | g / i / N | μ |
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md/2023_3DGS.md |
489 | …SplitGaussian(�, Σ, �, �) … | g / i / N | c |
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md/2023_3DGS.md |
489 | …SplitGaussian(�, Σ, �, �) … | g / i / N | α |
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md/2023_3DGS.md |
491 | …CloneGaussian(�, Σ, �, �) … | g / i / N | μ |
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md/2023_3DGS.md |
491 | …CloneGaussian(�, Σ, �, �) … | g / i / N | c |
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md/2023_3DGS.md |
491 | …CloneGaussian(�, Σ, �, �) … | g / i / N | α |
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md/2023_3DGS.md |
496 | …� ← � + 1 … | i |
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md/2023_3DGS.md |
496 | …� ← � + 1 … | i |
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md/2023_3DGS.md |
505 | …�, ℎ: width and h<s… | w |
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md/2023_3DGS.md |
506 | …�, �: Gaussian… | g / i / N | M |
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md/2023_3DGS.md |
506 | …�, �: Gaussian mea</sub… | g / i / N | S |
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md/2023_3DGS.md |
507 | …�, �: Gaussian… | g / i / N | C |
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md/2023_3DGS.md |
507 | …�, �: Gaussian co… | g / i / N | A |
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md/2023_3DGS.md |
508 | …�: view configuration of current cam… | v / V | V |
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md/2023_3DGS.md |
509 | …function Rasterize(�, ℎ, �, �, �, �, �)… | w |
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md/2023_3DGS.md |
509 | …function Rasterize(�, ℎ, �, �, �, �, �)… | M |
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md/2023_3DGS.md |
509 | …function Rasterize(�, ℎ, �, �, �, �, �)… | S |
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md/2023_3DGS.md |
509 | …function Rasterize(�, ℎ, �, �, �, �, �)… | C |
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md/2023_3DGS.md |
509 | …function Rasterize(�, ℎ, �, �, �, �, �)… | A |
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md/2023_3DGS.md |
509 | …function Rasterize(�, ℎ, �, �, �, �, �)… | V |
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md/2023_3DGS.md |
510 | …CullGaussian(�, �) ⊲ Frustu… | g / i / N | p |
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md/2023_3DGS.md |
510 | …CullGaussian(�, �) ⊲ Frustum C… | g / i / N | V |
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md/2023_3DGS.md |
511 | …�′, �′ ← Screensp</s… | M |
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md/2023_3DGS.md |
511 | …�′, �′ ← ScreenspaceGaussians… | S |
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md/2023_3DGS.md |
511 | …sup>′ ← ScreenspaceGaussians(�, �, � ) ⊲ Transfor… | M |
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md/2023_3DGS.md |
511 | …>′ ← ScreenspaceGaussians(�, �, � ) ⊲ Transform</… | S |
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md/2023_3DGS.md |
511 | …/sup> ← ScreenspaceGaussians(�, �, � ) ⊲ Transform</sub… | V |
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md/2023_3DGS.md |
512 | …� ← CreateTiles(�, ℎ)… | T |
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md/2023_3DGS.md |
512 | …� ← CreateTiles(�, ℎ)… | w |
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md/2023_3DGS.md |
513 | …�, � ← DuplicateWithKeys(… | L |
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md/2023_3DGS.md |
513 | …�, � ← DuplicateWithKeys(�<s… | K |
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md/2023_3DGS.md |
513 | …, � ← DuplicateWithKeys(�′, �) ⊲ Indices and Ke<s… | M |
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md/2023_3DGS.md |
513 | …/sub>licateWithKeys(�′, �) ⊲ Indices and Keys… | T |
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md/2023_3DGS.md |
514 | …SortByKeys(�, �) ⊲ Global… | K |
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md/2023_3DGS.md |
514 | …SortByKeys(�, �) ⊲ Globall<s… | L |
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md/2023_3DGS.md |
515 | …� ← IdentifyTileRanges(� … | R |
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md/2023_3DGS.md |
515 | …� ← IdentifyTileRanges(� , �)… | T |
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md/2023_3DGS.md |
515 | … IdentifyTileRanges(� , �)… | K |
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md/2023_3DGS.md |
516 | …� ← 0 ⊲ Init Canvas<… | I |
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md/2023_3DGS.md |
517 | …for all Tiles � in � do… | t |
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md/2023_3DGS.md |
517 | …for all Tiles � in � do… | I |
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md/2023_3DGS.md |
518 | …for all Pixels � in � do… | i |
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md/2023_3DGS.md |
518 | …for all Pixels � in � do… | t |
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md/2023_3DGS.md |
519 | …� ← GetTileRange(�, �)… | r |
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md/2023_3DGS.md |
519 | …� ← GetTileRange(�, �)… | R |
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md/2023_3DGS.md |
519 | …� ← GetTileRange(�, �)… | t |
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md/2023_3DGS.md |
520 | …�[�] ← BlendInOrder(�, �, �, �, �′, … | α | I |
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md/2023_3DGS.md |
520 | …�[�] ← BlendInOrder(�, �, �, �, �′, �<… | α | i |
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md/2023_3DGS.md |
520 | …�[�] ← BlendInOrder(�, �, �, �, �′, �′, �, �)… | α | i |
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md/2023_3DGS.md |
520 | …�[�] ← BlendInOrder(�, �, �, �, �′, �′, �, �)… | α | L |
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md/2023_3DGS.md |
520 | …�[�] ← BlendInOrder(�, �, �, �, �′, �′, �, �)… | α | r |
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md/2023_3DGS.md |
520 | …�[�] ← BlendInOrder(�, �, �, �, �′, �′, �, �)… | α | K |
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md/2023_3DGS.md |
520 | …�[�] ← BlendInOrder(�, �, �, �, �′, �′, �, �)… | α | M |
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md/2023_3DGS.md |
520 | …[�] ← BlendInOrder(�, �, �, �, �′, �′, �, �)… | α | S |
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md/2023_3DGS.md |
520 | …der(�, �, �, �, �′, �′, �, �)… | C |
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md/2023_3DGS.md |
520 | …(�, �, �, �, �′, �′, �, �)… | A |
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md/2023_3DGS.md |
523 | …return �… | I |
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md/2023_3DGS.md |
527 | …pass by each Gaussian’s �. Implemented naïvely,</… | g / i / N | α |
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md/2023_3DGS.md |
527 | …b>ng updates with � < � (we choose � as $\textstyle { \frac { 1 }… | α |
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md/2023_3DGS.md |
527 | … updates with � < � (we choose � as $\textstyle { \frac { 1 } { 2… | ε |
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md/2023_3DGS.md |
527 | …b>ates with � < � (we choose � as <… | ε |
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md/2023_3DGS.md |
527 | …d also clamp � with 0.99 from ab… | α |
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md/2024_Reducing_the_Memory_Footprint_of_3D_Gaussian_Splatting.md |
84 | …t. For a given view v, the pixel footprint at � identifies the world-space extent of a pixel … | v / V | g |
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md/2024_Reducing_the_Memory_Footprint_of_3D_Gaussian_Splatting.md |
89 | …ixel footprint at �, which yields a spatial extent proportional t… | g |
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md/2024_Reducing_the_Memory_Footprint_of_3D_Gaussian_Splatting.md |
137 | …e required memory for these attributes from 56� × 4 bytes to $5 6 N + 2 0 \times 2 5 6 \times… | N |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
74 | …�(r) is the output color for a given ray r, � (… | C / c | c |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
74 | …�(r) is the output color for a given ray r, � (r, �) is the opacity along the ray and � (r,… | α | σ |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
74 | … is the output color for a given ray r, � (r, �) is the opacity along the ray and � (r, �) is… | α | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
74 | … r, � (r, �) is the opacity along the ray and � (r, �) is the view-dependent emitted radiance… | α | c |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
74 | …(r, �) is the opacity along the ray and � (r, �) is the view-dependent emitted radiance. 3DGS… | α | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
80 | …� is the Gaussian’s location, � is a rotation m… | g / i / N | μ |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
80 | …� is the Gaussian’s location, � is a rotation matrix and � is a diagonal scal… | g / i / N | R |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
80 | …ussian’s location, � is a rotation matrix and � is a diagonal scaling matrix, allowing to pos… | S |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
98 | …where � iterates over the Gau… | i |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
98 | …ce the ray in the ordering of and �� is the opacity of the Gaussian along the ray,… | α | αi |
相邻两个字符位:α 与下标 i(原文 𝛼𝑖) |
md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
100 | … }N _… | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
127 | …iewspace z-coordinate of each Gaussian’s mean �, see Eqn. (2). This leads to a consistent sor… | g / i / N | μ |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
148 | …ditionally, see Fig. 3. Therefore, we compute �� � on a per-ray basis.… | t |
原文为 𝑡opt;其中 p 那一颗 glyph 被 MinerU 读成了空格(不是 U+FFFD),本次一并改回 p |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
148 | …ally, see Fig. 3. Therefore, we compute �� � on a per-ray basis.… | o |
原文为 𝑡opt;其中 p 那一颗 glyph 被 MinerU 读成了空格(不是 U+FFFD),本次一并改回 p |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
148 | …ly, see Fig. 3. Therefore, we compute �� � on a per-ray basis.… | t |
原文为 𝑡opt;其中 p 那一颗 glyph 被 MinerU 读成了空格(不是 U+FFFD),本次一并改回 p |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
167 | …ut of order, we accumulate their diference in ����. We present a visual example in… | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
167 | …order, we accumulate their diference in ����. We present a visual example in Fig. 4,… | opt |
原文 𝑡opt,下标 opt 按字面回填 | |
md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
167 | …le in Fig. 4, with corresponding runtimes and � in Tab. 1 — evidently, even though � decrease… | δ |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
167 | …imes and � in Tab. 1 — evidently, even though � decreases with a larger resorting window, the… | δ |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
194 | …ow \hat { \mathbf { x } } = \mu _ { 2 }$ . If �2 ∉ �, then xˆ must lie on one of t… | μ |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
194 | …f { x } } = \mu _ { 2 }$ . If �2 ∉ �, then xˆ must lie on one of the two tile edge… | X |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
198 | …X } G _ { 2 } ( { \bf x } ) t _ { o p t }$ (x)�x is a better estimate. Yet, even a numerical … | d |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
210 | …the 2×2 tile. We evaluate and � for the respective rays and insert the newly … | α |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
228 | …is the accumulated output color including the �-th Gaussian in front-to-back order. As we per… | C / c | i |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
245 | … frame with ofset � using optical flow predictions from state-of-… | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
268 | …on ���� , cf. Eqn. (4)).… | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
268 | …\phi ( \mu ; { \bf o } , { \bf d } ) =$ ���� , cf. Eqn. (4)).… | opt |
原文 𝑡opt,下标 opt 按字面回填 | |
md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
296 | … despite their comparable number of Gaussians �. Even though the Train scene contains slightl… | N |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
310 | …isible (in view-frustum) number of Gaussians (� vs. ��), as well as standard deviation and av… | v / V | N |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
310 | … (in view-frustum) number of Gaussians (� vs. ��), as well as standard deviation and average n… | v / V | NV |
相邻两个字符位:N 与下标 V(原文 𝑁𝑉) |
md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
310 | …16×16 tiles covered by each visible Gaussian (��). We additionally include an appr… | g / i / N | N |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
310 | …tiles covered by each visible Gaussian (��). We additionally include an approximat… | g / i / N | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
310 | …lude an approximate number of sort entries as �� · avg(�� ).… | NV |
相邻两个字符位:N 与下标 V(原文 𝑁𝑉) | |
md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
310 | …pproximate number of sort entries as �� · avg(�� ).… | N |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
310 | …mate number of sort entries as �� · avg(�� ).… | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
313 | …culling results in a larger reduction of avg. �� for Train than Bonsai (∼3.5× vs. … | N |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
313 | …g results in a larger reduction of avg. �� for Train than Bonsai (∼3.5× vs. ∼2.5×)… | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
455 | … on one of these two edges. The fact that the � coordinate of and the… | y |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
455 | …coordinate of and the � coordinate of are zero, a… | x |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
459 | …�min, �max, �min<su… | x |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
459 | …�min, �max, �min, $y _ { … | x |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
459 | …�min, �max, �min, $y _ { \mathrm { { m a x } } }… | y |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
471 | …if �max the… | y |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
471 | …\Phi } _ { y } $ �max then … | y |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
487 | …ma } } ^ { - 1 }\Sigma ^ { - 1 } ( \bo… | R |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
487 | … ^ { - 1 }\Sigma ^ { - 1 } ( \boldsymb… | S |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
503 | …y error grows almost linearly with increasing �. Further, our method outperforms 3DGS for all… | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
505 | …Table 8. FLIPt comparison for � ∈ {1, 3, 5, 7, 9} for three camera paths for … | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
505 | …be seen, our method outperforms 3DGS for each �, and FLIPt scales almost linearly … | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
505 | … scales almost linearly with increasing �.… | t |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
523 | …as equal. We mapped those answers onto scores �:… | s |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
560 | …nd, therefore, has a significantly lower avg. �� for our method (2.7 vs. 2.41) com… | N |
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md/2024_StopThePop__Sorted_Gaussian_Splatting_for_View-Consisten.md |
560 | …erefore, has a significantly lower avg. �� for our method (2.7 vs. 2.41) compared … | t |
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