activity
20232026
most citedAnimate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

9 citations · 10 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Wan-Animate-2: Pushing the Application Boundaries of Character Animation

Guangyuan Wang, Li Hu, Dechao Meng +11

Character image animation remains a foundational yet challenging task in computer vision. Existing approaches can be broadly categorized into three paradigms: methods based on expl…

cs.CV2026

Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation

Kedi Sun, Chaohui Dang, Yue Feng +3

Automated, clinician-grade assessment reports for surgical procedures could reduce documentation burden and provide objective feedback, yet remain challenging due to the difficulty…

cs.CV2026

Wan-Image: Pushing the Boundaries of Generative Visual Intelligence

Chaojie Mao, Chen-Wei Xie, Chongyang Zhong +55

We present Wan-Image, a unified visual generation system explicitly engineered to paradigm-shift image generation models from casual synthesizers into professional-grade productivi…

cs.CV2026

AutoFigure-Edit: Generating Editable Scientific Illustration

Zhen Lin, Qiujie Xie, Minjun Zhu +10

High-quality scientific illustrations are essential for communicating complex scientific and technical concepts, yet existing automated systems remain limited in editability, styli…

cs.CV2025

Wan-Animate: Unified Character Animation and Replacement with Holistic Replication

Gang Cheng, Xin Gao, Li Hu +23

We introduce Wan-Animate, a unified framework for character animation and replacement. Given a character image and a reference video, Wan-Animate can animate the character by preci…

cs.CV2025

Wan-S2V: Audio-Driven Cinematic Video Generation

Xin Gao, Li Hu, Siqi Hu +20

Current state-of-the-art (SOTA) methods for audio-driven character animation demonstrate promising performance for scenarios primarily involving speech and singing. However, they o…

cs.CV2024★ 1 cited

OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person

Ke Sun, Jian Cao, Qi Wang +8

Virtual Try-On (VTON) has become a transformative technology, empowering users to experiment with fashion without ever having to physically try on clothing. However, existing metho…

cs.CV2023★ 9 cited

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Li Hu, Xin Gao, Peng Zhang +3

Character Animation aims to generating character videos from still images through driving signals. Currently, diffusion models have become the mainstream in visual generation resea…

cs.CV2023

Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On

Daiheng Gao, Xu Chen, Xindi Zhang +5

Fabricating and designing 3D garments has become extremely demanding with the increasing need for synthesizing realistic dressed persons for a variety of applications, e.g. 3D virt…