English(EN) PixGR: Pixel-Space Generative Decoding for Fast Feed-Forward 3D Reconstruction

PixGR框架通过像素空间生成式建模增强三维重建

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-26 04:00

研究人员推出PixGR，一个通过整合像素空间生成式建模来增强三维高斯重建的新框架。该方法对场景不确定性进行建模，并通过可微分渲染和像素空间流匹配实现高效、端到端优化。PixGR实现了亚秒级推理时间，并在稀疏视图场景中展现出优于基于回归的方法的性能，同时与更大的生成模型相比仍具竞争力。 AI

影响提高了三维重建的效率和准确性，可能对计算机图形学和虚拟现实等领域产生影响。

排序理由该条目是一篇学术论文，详细介绍了一种新的三维重建方法。 [lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Ranran Huang, Wenjing Bian, Weixun Luo, Ye Mao, Krystian Mikolajczyk · 2026-10-26 04:00

PixGR：像素空间生成式解码，实现快速前馈三维重建

arXiv:2610.31908v1 Announce Type: new Abstract: We present PixGR, an efficient framework that integrates lightweight pixel-space generative modeling into feed-forward 3D Gaussian reconstruction to model scene uncertainty. Context observations are encoded once into a scene latent …