activity
20202026
most citedCascaded Deep Video Deblurring Using Temporal Sharpness Prior

6 citations · 12 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

FastVR: Efficient Streaming Video Restoration with One-Step Diffusion

Xiaoxu Chen, Qin Yang, Haoran Bai +2

Diffusion-based video restoration recovers realistic details, but its practical deployment is limited by two efficiency bottlenecks: costly VAE encoding and decoding, and the quadr…

cs.CV2026

GraftSR: Grafting Authentic Textures for Real-World Image Super-Resolution via Identical-Instance Guidance

Qifan Yu, Haoran Bai, Zongyao He +4

Diffusion-based real-world image super-resolution (SR) achieves impressive perceptual quality but inherently suffers from severe texture hallucination. To overcome this limitation,…

cs.CV2026

SATB-VR: Training Few-Step Video Restoration Diffusion Model using SNR-Aware Trajectory Blending

Haoran Bai, Xiaoxu Chen, Xiaoyu Liu +4

While diffusion models excel in video restoration, their reliance on extensive iterative steps limits efficiency. Conversely, aggressive single-step distillation often compromises…

cs.CV2022★ 1 cited

FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction

Haoran Bai, Di Kang, Haoxian Zhang +2

We present a large-scale facial UV-texture dataset that contains over 50,000 high-quality texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions,…

cs.CV2022★ 5 cited

Self-Supervised Deep Blind Video Super-Resolution

Haoran Bai, Jinshan Pan

Existing deep learning-based video super-resolution (SR) methods usually depend on the supervised learning approach, where the training data is usually generated by the blurring op…

cs.CV2020★ 6 cited

Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

Jinshan Pan, Haoran Bai, Jinhui Tang

We present a simple and effective deep convolutional neural network (CNN) model for video deblurring. The proposed algorithm mainly consists of optical flow estimation from interme…

cs.CV2020

Deep Blind Video Super-resolution

Jinshan Pan, Songsheng Cheng, Jiawei Zhang +1

Existing video super-resolution (SR) algorithms usually assume that the blur kernels in the degradation process are known and do not model the blur kernels in the restoration. Howe…