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20212026
most citedArtemis: Articulated Neural Pets with Appearance and Motion synthesis

29 citations · 38 across the 12 of their papers we have counts for

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Showing cs.GRShow all

5 papers · 1 filter

cs.GR2025

Topology-Aware Optimization of Gaussian Primitives for Human-Centric Volumetric Videos

Yuheng Jiang, Chengcheng Guo, Yize Wu +9

Volumetric video is emerging as a key medium for digitizing the dynamic physical world, creating the virtual environments with six degrees of freedom to deliver immersive user expe…

cs.GR2025

BEAM: Bridging Physically-based Rendering and Gaussian Modeling for Relightable Volumetric Video

Yu Hong, Yize Wu, Zhehao Shen +5

Volumetric video enables immersive experiences by capturing dynamic 3D scenes, enabling diverse applications for virtual reality, education, and telepresence. However, traditional…

cs.GR2024

Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos

Yuheng Jiang, Zhehao Shen, Yu Hong +5

Volumetric video represents a transformative advancement in visual media, enabling users to freely navigate immersive virtual experiences and narrowing the gap between digital and…

cs.GR2022★ 3 cited

Human Performance Modeling and Rendering via Neural Animated Mesh

Fuqiang Zhao, Yuheng Jiang, Kaixin Yao +8

We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mes…

cs.GR2022★ 29 cited

Artemis: Articulated Neural Pets with Appearance and Motion synthesis

Haimin Luo, Teng Xu, Yuheng Jiang +6

We, humans, are entering into a virtual era and indeed want to bring animals to the virtual world as well for companion. Yet, computer-generated (CGI) furry animals are limited by…