activity
20192026
most citedCASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters

39 citations · 96 across the 41 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.CV2024★ 1 cited

Align3R: Aligned Monocular Depth Estimation for Dynamic Videos

Jiahao Lu, Tianyu Huang, Peng Li +7

Recent developments in monocular depth estimation methods enable high-quality depth estimation of single-view images but fail to estimate consistent video depth across different fr…

cs.CV2024

MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning

Yuming Feng, Zhiyang Dou, Ling-Hao Chen +7

Modeling temporal characteristics and the non-stationary dynamics of body movement plays a significant role in predicting human future motions. However, it is challenging to captur…

cs.CV2024

SIMS: Simulating Stylized Human-Scene Interactions with Retrieval-Augmented Script Generation

Wenjia Wang, Liang Pan, Zhiyang Dou +7

Simulating stylized human-scene interactions (HSI) in physical environments is a challenging yet fascinating task. Prior works emphasize long-term execution but fall short in achie…

cs.CV2024★ 1 cited

DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image

Qingxuan Wu, Zhiyang Dou, Sirui Xu +11

Reconstructing 3D hand-face interactions with deformations from a single image is a challenging yet crucial task with broad applications in AR, VR, and gaming. The challenges stem…

cs.GR2024★ 1 cited

Part123: Part-aware 3D Reconstruction from a Single-view Image

Anran Liu, Cheng Lin, Yuan Liu +5

Recently, the emergence of diffusion models has opened up new opportunities for single-view reconstruction. However, all the existing methods represent the target object as a close…

cs.CV2024

Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization

Zimeng Wang, Zhiyang Dou, Rui Xu +7

We introduce Coverage Axis++, a novel and efficient approach to 3D shape skeletonization. The current state-of-the-art approaches for this task often rely on the watertightness of…