activity
20212026
most citedLocal-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

3 citations · 6 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

GRAFT: Geometric Refinement and Fitting Transformer for Human Scene Reconstruction

Pradyumna YM, Yuxuan Xue, Yue Chen +3

Reconstructing physically plausible 3D human-scene interactions (HSI) from a single image currently presents a trade-off: optimization based methods offer accurate contact but are…

cs.CV2025

Human3R: Everyone Everywhere All at Once

Yue Chen, Xingyu Chen, Yuxuan Xue +3

We present Human3R, a unified, feed-forward framework for online 4D human-scene reconstruction, in the world frame, from casually captured monocular videos. Unlike previous approac…

cs.CV2025

TTT3R: 3D Reconstruction as Test-Time Training

Xingyu Chen, Yue Chen, Yuliang Xiu +2

Modern Recurrent Neural Networks have become a competitive architecture for 3D reconstruction due to their linear-time complexity. However, their performance degrades significantly…

cs.CV2025

Easi3R: Estimating Disentangled Motion from DUSt3R Without Training

Xingyu Chen, Yue Chen, Yuliang Xiu +2

Recent advances in DUSt3R have enabled robust estimation of dense point clouds and camera parameters of static scenes, leveraging Transformer network architectures and direct super…

cs.CV2024★ 2 cited

Feat2GS: Probing Visual Foundation Models with Gaussian Splatting

Yue Chen, Xingyu Chen, Anpei Chen +2

Given that visual foundation models (VFMs) are trained on extensive datasets but often limited to 2D images, a natural question arises: how well do they understand the 3D world? Wi…

cs.CV2022★ 3 cited

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

Yue Chen, Xingyu Chen, Xuan Wang +4

Neural Radiance Fields (NeRF) have achieved photorealistic novel views synthesis; however, the requirement of accurate camera poses limits its application. Despite analysis-by-synt…

cs.CV2022

Place Recognition under Occlusion and Changing Appearance via Disentangled Representations

Yue Chen, Xingyu Chen, Yicen Li

Place recognition is a critical and challenging task for mobile robots, aiming to retrieve an image captured at the same place as a query image from a database. Existing methods te…

cs.CV2022★ 1 cited

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

Yue Chen, Xuan Wang, Xingyu Chen +5

Neural volume rendering enables photo-realistic renderings of a human performer in free-view, a critical task in immersive VR/AR applications. But the practice is severely limited…

cs.CV2021

Hallucinated Neural Radiance Fields in the Wild

Xingyu Chen, Qi Zhang, Xiaoyu Li +4

Neural Radiance Fields (NeRF) has recently gained popularity for its impressive novel view synthesis ability. This paper studies the problem of hallucinated NeRF: i.e., recovering…