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20182026
most citedLearning Generalized Spoof Cues for Face Anti-spoofing

54 citations · 241 across the 28 of their papers we have counts for

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36 papers · 1 filter

cs.CV2026

Seedance 2.0: Advancing Video Generation for World Complexity

Team Seedance, De Chen, Liyang Chen +168

Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…

cs.CV2024

ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer

Jiazhi Guan, Zhiliang Xu, Hang Zhou +10

Lip-syncing videos with given audio is the foundation for various applications including the creation of virtual presenters or performers. While recent studies explore high-fidelit…

cs.CV2023★ 2 cited

GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

Yahao Shi, Yanmin Wu, Chenming Wu +7

This paper presents a 3D Gaussian Inverse Rendering (GIR) method, employing 3D Gaussian representations to effectively factorize the scene into material properties, light, and geom…

cs.CV2023

Accelerating Vision Transformers Based on Heterogeneous Attention Patterns

Deli Yu, Teng Xi, Jianwei Li +7

Recently, Vision Transformers (ViTs) have attracted a lot of attention in the field of computer vision. Generally, the powerful representative capacity of ViTs mainly benefits from…

cs.CV2023

HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation

Jinbo Wu, Xiaobo Gao, Xing Liu +5

In this paper, we study Text-to-3D content generation leveraging 2D diffusion priors to enhance the quality and detail of the generated 3D models. Recent progress (Magic3D) in text…

cs.CV2023★ 1 cited

StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator

Jiazhi Guan, Zhanwang Zhang, Hang Zhou +8

Despite recent advances in syncing lip movements with any audio waves, current methods still struggle to balance generation quality and the model's generalization ability. Previous…