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20212026
most citedEpiGRAF: Rethinking training of 3D GANs

53 citations · 106 across the 24 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

LSF-Animation: Label-Free Speech-Driven Facial Animation via Implicit Feature Representation

Xin Lu, Chuanqing Zhuang, Chenxi Jin +4

Speech-driven 3D facial animation has attracted increasing interest since its potential to generate expressive and temporally synchronized digital humans. While recent works have b…

cs.CV2025

EAvatar: Expression-Aware Head Avatar Reconstruction with Generative Geometry Priors

Shikun Zhang, Cunjian Chen, Yiqun Wang +2

High-fidelity head avatar reconstruction plays a crucial role in AR/VR, gaming, and multimedia content creation. Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated e…

cs.CV2025

MT-PCR: Hybrid Mamba-Transformer Network with Spatial Serialization for Point Cloud Registration

Bingxi Liu, An Liu, Hao Chen +4

Point cloud registration (PCR) is a fundamental task in 3D computer vision and robotics. Most learning-based PCR methods rely on Transformer architectures, which suffer from quadra…

cs.CV2025

Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility

Yidi Li, Jun Xiao, Zhengda Lu +2

This work presents a novel text-to-vector graphics generation approach, Dream3DVG, allowing for arbitrary viewpoint viewing, progressive detail optimization, and view-dependent occ…

cs.CV2025

3D Surface Reconstruction with Enhanced High-Frequency Details

Shikun Zhang, Yiqun Wang, Cunjian Chen +2

Neural implicit 3D reconstruction can reproduce shapes without 3D supervision, and it learns the 3D scene through volume rendering methods and neural implicit representations. Curr…

cs.CV2025

DehazeGS: Seeing Through Fog with 3D Gaussian Splatting

Jinze Yu, Yiqun Wang, Aiheng Jiang +5

Current novel view synthesis methods are typically designed for high-quality and clean input images. However, in foggy scenes, scattering and attenuation can significantly degrade…