Author

Xin Cai

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#artificial intelligence Preprint Oct 2026

FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching

Recent video super-resolution (VSR) models achieve efficient one-step generation through diffusion distillation. However, high-resolution inference remains costly, and distilled models are difficult to align with human preferences. These challenges call for improvements in both model architecture and training strategy....

Ru-Chang Yao, Shi Guo, Junhao Zhuang et al. · 0 citations

Jul 2026

Twins: Learn to Predict Unified Representations with Focal Loss

Twin, a unified continuous token space formed by channel-wise concatenating ViT and VAE features on the same token grid, so the sequence length is unchanged and attention cost does not increase is proposed, which performs competitively on multimodal understanding benchmarks and improves reconstruction fidelity.

Kaixiong Gong, Xin Cai, Bin Lin et al. · arXiv.org · 0 citations

Jul 2026

RealVDeblur: One-Step Diffusion for Generalizable Real-World Video Deblurring

An efficient generative framework designed to improve in-the-wild robustness under diverse real capture conditions and demonstrate strong perceptual quality, semantic fidelity, and temporal consistency on unseen videos, as well as improved robustness in downstream 3D reconstruction under severe motion blur.

Renbiao Jin, Ming-Hsuan Yang, Yutian Chen et al. · arXiv.org · 0 citations