activity
20232026
most citedA Simple Baseline for Efficient Hand Mesh Reconstruction

1 citations · 1 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2026

The Velocity Deficit: Initial Energy Injection for Flow Matching

Linze Li, Zong-Wei Hong, Shen Zhang +4

While Flow Matching theoretically guarantees constant-velocity trajectories, we identify a critical breakdown in high-dimensional practice: the Velocity Deficit. We show that the M…

cs.CV2024

1st Place Solution of Multiview Egocentric Hand Tracking Challenge ECCV2024

Minqiang Zou, Zhi Lv, Riqiang Jin +4

Multi-view egocentric hand tracking is a challenging task and plays a critical role in VR interaction. In this report, we present a method that uses multi-view input images and cam…

cs.CV20241 cited

A Simple Baseline for Efficient Hand Mesh Reconstruction

Zhishan Zhou, Shihao. zhou, Zhi Lv +3

3D hand pose estimation has found broad application in areas such as gesture recognition and human-machine interaction tasks. As performance improves, the complexity of the systems…

cs.CV2024

Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects

Zicong Fan, Takehiko Ohkawa, Linlin Yang +21

We interact with the world with our hands and see it through our own (egocentric) perspective. A holistic 3Dunderstanding of such interactions from egocentric views is important fo…

cs.CV2023

FAAC: Facial Animation Generation with Anchor Frame and Conditional Control for Superior Fidelity and Editability

Linze Li, Sunqi Fan, Hengjun Pu +6

Over recent years, diffusion models have facilitated significant advancements in video generation. Yet, the creation of face-related videos still confronts issues such as low facia…

cs.CV2023

HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models

Shen Zhang, Zhaowei Chen, Zhenyu Zhao +3

Diffusion models have become a mainstream approach for high-resolution image synthesis. However, directly generating higher-resolution images from pretrained diffusion models will…