activity
20192025
most citedLearning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

6 citations · 6 across the 2 of their papers we have counts for

collaborators

11 papers

cs.CV2025

St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World

Haiwen Feng, Junyi Zhang, Qianqian Wang +5

Dynamic 3D reconstruction and point tracking in videos are typically treated as separate tasks, despite their deep connection. We propose St4RTrack, a feed-forward framework that s…

cs.CV2025

ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness

Boqian Li, Haiwen Feng, Zeyu Cai +2

Fitting a body to a 3D clothed human point cloud is a common yet challenging task. Traditional optimization-based approaches use multi-stage pipelines that are sensitive to pose in…

cs.CV2025

Predicting 4D Hand Trajectory from Monocular Videos

Yufei Ye, Yao Feng, Omid Taheri +3

We present HaPTIC, an approach that infers coherent 4D hand trajectories from monocular videos. Current video-based hand pose reconstruction methods primarily focus on improving fr…

cs.CV2024

InterDyn: Controllable Interactive Dynamics with Video Diffusion Models

Rick Akkerman, Haiwen Feng, Michael J. Black +2

Predicting the dynamics of interacting objects is essential for both humans and intelligent systems. However, existing approaches are limited to simplified, toy settings and lack g…

cs.CV2024

GenLit: Reformulating Single-Image Relighting as Video Generation

Shrisha Bharadwaj, Haiwen Feng, Giorgio Becherini +2

Manipulating the illumination of a 3D scene within a single image represents a fundamental challenge in computer vision and graphics. This problem has traditionally been addressed…

cs.LG2024

Can Large Language Models Understand Symbolic Graphics Programs?

Zeju Qiu, Weiyang Liu, Haiwen Feng +7

Against the backdrop of enthusiasm for large language models (LLMs), there is a growing need to scientifically assess their capabilities and shortcomings. This is nontrivial in par…