activity
20192026
most cited3D Pose Transfer with Correspondence Learning and Mesh Refinement

3 citations · 9 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2026

UniMate: One Unified Model to Animate Diverse Skeletons

Linzhan Mou, Jiahui Lei, Zhiyang Dou +4

Recent advances in automatic rigging now deliver animation-ready 3D assets at scale, yet generating the motion to drive them remains a bottleneck. Existing learned animators are to…

cs.GR2026

Animator-Centric Skeleton Generation on Objects with Fine-Grained Details

Mingze Sun, Cheng Zeng, Jiansong Pei +7

Skeleton generation is essential for animating 3D assets, but current deep learning methods remain limited: they cannot handle the growing structural complexity of modern models an…

cs.CV2025

ViSA: 3D-Aware Video Shading for Real-Time Upper-Body Avatar Creation

Fan Yang, Heyuan Li, Peihao Li +9

Generating high-fidelity upper-body 3D avatars from one-shot input image remains a significant challenge. Current 3D avatar generation methods, which rely on large reconstruction m…

cs.CV2025

Puppeteer: Rig and Animate Your 3D Models

Chaoyue Song, Xiu Li, Fan Yang +6

Modern interactive applications increasingly demand dynamic 3D content, yet the transformation of static 3D models into animated assets constitutes a significant bottleneck in cont…

cs.CV2025

ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization

Wenhao Shen, Wanqi Yin, Xiaofeng Yang +6

Human mesh recovery (HMR) from a single image is inherently ill-posed due to depth ambiguity and occlusions. Probabilistic methods have tried to solve this by generating numerous p…

cs.CV2025

MagicArticulate: Make Your 3D Models Articulation-Ready

Chaoyue Song, Jianfeng Zhang, Xiu Li +8

With the explosive growth of 3D content creation, there is an increasing demand for automatically converting static 3D models into articulation-ready versions that support realisti…

cs.CV2024

High Quality Human Image Animation using Regional Supervision and Motion Blur Condition

Zhongcong Xu, Chaoyue Song, Guoxian Song +8

Recent advances in video diffusion models have enabled realistic and controllable human image animation with temporal coherence. Although generating reasonable results, existing me…

cs.CV2024

Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D Generation

Zhoujie Fu, Jiacheng Wei, Wenhao Shen +5

In this work, we introduce a novel approach for creating controllable dynamics in 3D-generated Gaussians using casually captured reference videos. Our method transfers the motion o…

cs.CV2024★ 1 cited

REACTO: Reconstructing Articulated Objects from a Single Video

Chaoyue Song, Jiacheng Wei, Chuan-Sheng Foo +2

In this paper, we address the challenge of reconstructing general articulated 3D objects from a single video. Existing works employing dynamic neural radiance fields have advanced…

cs.CV2023★ 2 cited

MoDA: Modeling Deformable 3D Objects from Casual Videos

Chaoyue Song, Jiacheng Wei, Tianyi Chen +4

In this paper, we focus on the challenges of modeling deformable 3D objects from casual videos. With the popularity of neural radiance fields (NeRF), many works extend it to dynami…

cs.CV2022★ 1 cited

Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction

Chaoyue Song, Jiacheng Wei, Ruibo Li +2

The goal of 3D pose transfer is to transfer the pose from the source mesh to the target mesh while preserving the identity information (e.g., face, body shape) of the target mesh.…

cs.CV2021★ 3 cited

3D Pose Transfer with Correspondence Learning and Mesh Refinement

Chaoyue Song, Jiacheng Wei, Ruibo Li +2

3D pose transfer is one of the most challenging 3D generation tasks. It aims to transfer the pose of a source mesh to a target mesh and keep the identity (e.g., body shape) of the…

cs.CV2019★ 2 cited

CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator

Yugang Chen, Muchun Chen, Chaoyue Song +1

Instance based photo cartoonization is one of the challenging image stylization tasks which aim at transforming realistic photos into cartoon style images while preserving the sema…

cs.CV2019

Facial Image Deformation Based on Landmark Detection

Chaoyue Song, Yugang Chen, Shulai Zhang +1

In this work, we use facial landmarks to make the deformation for facial images more authentic. The deformation includes the expansion of eyes and the shrinking of noses, mouths, a…