activity
20232026
most citedEasyVolcap: Accelerating Neural Volumetric Video Research

5 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

4DAnyone: Create Anyone in 4D from a Casual Monocular Video

Yudong Jin, Tao Xie, Qihang Zhang +6

We present 4DAnyone, a framework for reconstructing 4D humans from an uncalibrated monocular video by generating reconstruction-grade multiview-consistent videos and lifting them i…

cs.CV2026

Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction

Tao Xie, Peishan Yang, Yudong Jin +8

This paper addresses the task of large-scale 3D scene reconstruction from long video sequences. Recent feed-forward reconstruction models have shown promising results by directly r…

cs.CV2025

Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models

Yudong Jin, Sida Peng, Xuan Wang +6

This paper addresses the challenge of high-fidelity view synthesis of humans with sparse-view videos as input. Previous methods solve the issue of insufficient observation by lever…

cs.CV2025

Multi-view Reconstruction via SfM-guided Monocular Depth Estimation

Haoyu Guo, He Zhu, Sida Peng +6

In this paper, we present a new method for multi-view geometric reconstruction. In recent years, large vision models have rapidly developed, performing excellently across various t…

cs.CV2024

EnvGS: Modeling View-Dependent Appearance with Environment Gaussian

Tao Xie, Xi Chen, Zhen Xu +6

Reconstructing complex reflections in real-world scenes from 2D images is essential for achieving photorealistic novel view synthesis. Existing methods that utilize environment map…

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★ 2 cited

Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes

Haotong Lin, Sida Peng, Zhen Xu +4

This paper aims to tackle the challenge of dynamic view synthesis from multi-view videos. The key observation is that while previous grid-based methods offer consistent rendering,…