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20242026
most citedText-Driven Diffusion Model for Sign Language Production

1 citations · 1 across the 17 of their papers we have counts for

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cs.CV2026

SoccerNet 2026 Challenges Results

Anthony Cioppa, Silvio Giancola, Håkan Ardö +102

The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video underst…

cs.CV2025

Accelerating Controllable Generation via Hybrid-grained Cache

Lin Liu, Huixia Ben, Shuo Wang +4

Controllable generative models have been widely used to improve the realism of synthetic visual content. However, such models must handle control conditions and content generation…

cs.CV2025

SLRTP2025 Sign Language Production Challenge: Methodology, Results, and Future Work

Harry Walsh, Ed Fish, Ozge Mercanoglu Sincan +19

Sign Language Production (SLP) is the task of generating sign language video from spoken language inputs. The field has seen a range of innovations over the last few years, with th…

cs.CV2025

Motion is the Choreographer: Learning Latent Pose Dynamics for Seamless Sign Language Generation

Jiayi He, Xu Wang, Shengeng Tang +3

Sign language video generation requires producing natural signing motions with realistic appearances under precise semantic control, yet faces two critical challenges: excessive si…

cs.CV2025

Text2Lip: Progressive Lip-Synced Talking Face Generation from Text via Viseme-Guided Rendering

Xu Wang, Shengeng Tang, Fei Wang +4

Generating semantically coherent and visually accurate talking faces requires bridging the gap between linguistic meaning and facial articulation. Although audio-driven methods rem…

cs.CV2025

SplitGaussian: Reconstructing Dynamic Scenes via Visual Geometry Decomposition

Lechao Cheng, Jiahui Li, Jingxuan He +5

Reconstructing dynamic 3D scenes from monocular video remains fundamentally challenging due to the need to jointly infer motion, structure, and appearance from limited observations…