English(EN) CompMVR: Compression-Aware Multi-View Restoration Using Diffusion Models for Geometrically Consistent 3D Reconstruction

CompMVR框架使用扩散模型从压缩图像进行三维重建

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

研究人员推出了一种新颖的框架CompMVR，旨在解决从压缩多视角图像进行三维重建的挑战。该方法专门针对压缩伪影引起的几何不一致性，这些不一致性可能破坏特征匹配和相机参数估计。CompMVR利用扩散模型来优化压缩视图，同时保持跨视图一致性，从而提高视觉细节和几何重建的可靠性。 AI

影响这项研究可以提高使用压缩视觉数据的三维重建管道的准确性和可靠性。

排序理由该集群包含一篇详细介绍三维重建新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Dong-hwi Kim, Chaewon Moon, Hojun Song, Dongbeom Kim, Junyeong Jang, Aro Kim, Gahyeon Kim, Heejung Choi, Jehee Kim, Gianella Cravioto, Sohyun Lee, Gyeongjin Choi, EunHye Jeong, Soo Ye Kim, Jaehyup Lee, Sang-hyo Park · 2026-10-26 04:00

CompMVR：使用扩散模型进行感知压缩的多视图恢复，实现几何一致的3D重建

arXiv:2610.32800v1 Announce Type: new Abstract: Real-world 3D reconstruction pipelines often rely on multi-view images degraded by lossy compression. While compression artifacts have been extensively studied in single-image or video restoration, their impact on multi-view geometr…