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20242026
most citedRigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets

9 citations · 13 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Free-viewpoint Human Animation with Pose-correlated Reference Selection

Fa-Ting Hong, Zhan Xu, Haiyang Liu +6

Diffusion-based human animation aims to animate a human character based on a source human image as well as driving signals such as a sequence of poses. Leveraging the generative ca…

cs.CV2024

Move-in-2D: 2D-Conditioned Human Motion Generation

Hsin-Ping Huang, Yang Zhou, Jui-Hsien Wang +4

Generating realistic human videos remains a challenging task, with the most effective methods currently relying on a human motion sequence as a control signal. Existing approaches…

cs.CV2024

Progressive Autoregressive Video Diffusion Models

Desai Xie, Zhan Xu, Yicong Hong +5

Current frontier video diffusion models have demonstrated remarkable results at generating high-quality videos. However, they can only generate short video clips, normally around 1…

cs.CV2024★ 1 cited

NECA: Neural Customizable Human Avatar

Junjin Xiao, Qing Zhang, Zhan Xu +1

Human avatar has become a novel type of 3D asset with various applications. Ideally, a human avatar should be fully customizable to accommodate different settings and environments.…

cs.CV2024

ActAnywhere: Subject-Aware Video Background Generation

Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang +4

Generating video background that tailors to foreground subject motion is an important problem for the movie industry and visual effects community. This task involves synthesizing b…

cs.CV2024★ 2 cited

Template-Free Single-View 3D Human Digitalization with Diffusion-Guided LRM

Zhenzhen Weng, Jingyuan Liu, Hao Tan +4

Reconstructing 3D humans from a single image has been extensively investigated. However, existing approaches often fall short on capturing fine geometry and appearance details, hal…