activity
20202025
most citedNeural 3D Reconstruction in the Wild

105 citations · 279 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CV2025

FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction

Yifan Wang, Peishan Yang, Zhen Xu +6

This paper addresses the challenge of reconstructing dynamic 3D scenes with complex motions. Some recent works define 3D Gaussian primitives in the canonical space and use deformat…

cs.CV2024★ 25 cited

Representing Long Volumetric Video with Temporal Gaussian Hierarchy

Zhen Xu, Yinghao Xu, Zhiyuan Yu +4

This paper aims to address the challenge of reconstructing long volumetric videos from multi-view RGB videos. Recent dynamic view synthesis methods leverage powerful 4D representat…

cs.CV2024

Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation

Haotong Lin, Sida Peng, Jingxiao Chen +7

Prompts play a critical role in unleashing the power of language and vision foundation models for specific tasks. For the first time, we introduce prompting into depth foundation m…

cs.CV2023★ 5 cited

EasyVolcap: Accelerating Neural Volumetric Video Research

Zhen Xu, Tao Xie, Sida Peng +7

Volumetric video is a technology that digitally records dynamic events such as artistic performances, sporting events, and remote conversations. When acquired, such volumography ca…

cs.CV2023★ 6 cited

4K4D: Real-Time 4D View Synthesis at 4K Resolution

Zhen Xu, Sida Peng, Haotong Lin +5

This paper targets high-fidelity and real-time view synthesis of dynamic 3D scenes at 4K resolution. Recently, some methods on dynamic view synthesis have shown impressive renderin…

cs.CV2023★ 1 cited

Relightable and Animatable Neural Avatar from Sparse-View Video

Zhen Xu, Sida Peng, Chen Geng +5

This paper tackles the challenge of creating relightable and animatable neural avatars from sparse-view (or even monocular) videos of dynamic humans under unknown illumination. Com…