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cs.CV2026

High-Fidelity Mobile Avatars with Pruned Local Blendshapes

Youyi Zhan, He Wang, Tianjia Shao +1

We propose a method to reconstruct high-fidelity human avatars from multi-view video that can run on mobile devices. Many works can model high-quality Gaussian-based full-body avat…

cs.CV2026

Slot-ID: Identity-Preserving Video Generation from Reference Videos via Slot-Based Temporal Identity Encoding

Yixuan Lai, He Wang, Kun Zhou +1

Producing prompt-faithful videos that preserve a user-specified identity remains challenging: models need to extrapolate facial dynamics from sparse reference while balancing the t…

cs.CV2025

Interactive Rendering of Relightable and Animatable Gaussian Avatars

Youyi Zhan, Tianjia Shao, He Wang +2

Creating relightable and animatable avatars from multi-view or monocular videos is a challenging task for digital human creation and virtual reality applications. Previous methods…

cs.CV2025

High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model

Yiyang Shen, Kun Zhou, He Wang +2

Recently single-view 3D generation via Gaussian splatting has emerged and developed quickly. They learn 3D Gaussians from 2D RGB images generated from pre-trained multi-view diffus…

cs.CV2024

GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation

Jiawei Lu, Yingpeng Zhang, Zengjun Zhao +3

Large-scale text-guided image diffusion models have shown astonishing results in text-to-image (T2I) generation. However, applying these models to synthesize textures for 3D geomet…

cs.CV2024

Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack

Yunfeng Diao, He Wang, Tianjia Shao +4

Human Activity Recognition (HAR) has been employed in a wide range of applications, e.g. self-driving cars, where safety and lives are at stake. Recently, the robustness of skeleto…