most citedTowards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis

2 citations · 2 across the 5 of their papers we have counts for

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cs.CV2026

JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion

Yicheng Xiao, Wenxun Dai, Xinran Qin +22

Real-time video editing requires low-latency causal generation with bounded computational resources while preserving source fidelity and long-term temporal consistency. We present…

cs.CV2026

ShotCrop: Cropping Human-Centric Images into Cinematic Triple-Shot Compositions

Dehong Kong, Lina Lei, Lingtao Zheng +10

Prior work on aesthetic composition typically produces a single aesthetically pleasing crop, overlooking the narrative value of composing multiple shots from one scene. In practice…

cs.CV2026

YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal

Chenyang Wu, Lina Lei, Fan Li +6

Recent advances in Diffusion Transformer (DiT)-based video generation technologies have shown impressive results for video object removal. However, these methods still suffer from…

cs.CV2026

HP-Edit: A Human-Preference Post-Training Framework for Image Editing

Fan Li, Chonghuinan Wang, Lina Lei +9

Common image editing tasks typically adopt powerful generative diffusion models as the leading paradigm for real-world content editing. Meanwhile, although reinforcement learning (…

cs.CV2023★ 2 cited

Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis

Jingjing Ren, Cheng Xu, Haoyu Chen +2

Recent progress in multi-modal conditioned face synthesis has enabled the creation of visually striking and accurately aligned facial images. Yet, current methods still face issues…