◇ 今日论文 · PixSDS: Why Latent SDS Makes Noisy Pixels
① 这是什么
今日论文《今日论文 · PixSDS: Why Latent SDS Makes Noisy Pixels》（Vsevolod Skorokhodov），来自 HF Daily Papers 公开源。
② 值不值得用
进入 HF 每日精选说明有社区关注度；是否与你的问题相关需要读原文判断，本条目不评价研究质量。
③ 怎么开始
先读摘要，需要再读全文（https://huggingface.co/papers/2608.12997）；对照论文 ID（2608.12997）可找实现与讨论。
④ 关键证据
- 论文 ID 2608.12997
- 作者 Vsevolod Skorokhodov
⑤ 注意事项与坑
摘要来自作者原文，未做同行评议级核验；引用请以正式发表版本为准。
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🐞 纠错 / 报错 → 提 Issue{
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"summary": "Score Distillation Sampling (SDS) enables text-to-3D generation by optimizing rendered images with a pretrained diffusion prior, but latent SDS often produces structured color artifacts and high-frequency texture noise. We identify a failure mode of latent SDS caused by VAE-induced pixel drift: the optimized image can move along pixel-space directions that are weakly constrained by the VAE encoder",
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"summary": "Score Distillation Sampling (SDS) enables text-to-3D generation by optimizing rendered images with a pretrained diffusion prior, but latent SDS often produces structured color artifacts and high-frequency texture noise. We identify a failure mode of latent SDS caused by VAE-induced pixel drift: the optimized image can move along pixel-space directions that are weakly constrained by the VAE encoder, so its latent representation remains clean and semantically meaningful while the image itself accumulates visible artifacts. We support this diagnosis with controlled 2D SDS experiments, VAE-only op",
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