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20192024
most citedMagicMix: Semantic Mixing with Diffusion Models

14 citations · 35 across the 5 of their papers we have counts for

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10 papers · 1 filter

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.CV20237 cited

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew +5

This paper studies the human image animation task, which aims to generate a video of a certain reference identity following a particular motion sequence. Existing animation works t…

cs.CV20232 cited

XAGen: 3D Expressive Human Avatars Generation

Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew +2

Recent advances in 3D-aware GAN models have enabled the generation of realistic and controllable human body images. However, existing methods focus on the control of major body joi…

cs.CV202214 cited

MagicMix: Semantic Mixing with Diffusion Models

Jun Hao Liew, Hanshu Yan, Daquan Zhou +1

Have you ever imagined what a corgi-alike coffee machine or a tiger-alike rabbit would look like? In this work, we attempt to answer these questions by exploring a new task called…

cs.CV2021

Body Meshes as Points

Jianfeng Zhang, Dongdong Yu, Jun Hao Liew +2

We consider the challenging multi-person 3D body mesh estimation task in this work. Existing methods are mostly two-stage based--one stage for person localization and the other sta…