1 citations · 1 across the 5 of their papers we have counts for
5 papers
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,…
Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration
Haoran Bai, Xiaoxu Chen, Canqian Yang +3
We present Vivid-VR, a DiT-based generative video restoration method built upon an advanced T2V foundation model, where ControlNet is leveraged to control the generation process, e…
Accelerating Learned Video Compression via Low-Resolution Representation Learning
Zidian Qiu, Zongyao He, Zhi Jin
In recent years, the field of learned video compression has witnessed rapid advancement, exemplified by the latest neural video codecs DCVC-DC that has outperformed the upcoming ne…
Latent Modulated Function for Computational Optimal Continuous Image Representation
Zongyao He, Zhi Jin
The recent work Local Implicit Image Function (LIIF) and subsequent Implicit Neural Representation (INR) based works have achieved remarkable success in Arbitrary-Scale Super-Resol…
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image Representation
Zongyao He, Zhi Jin
Recent years have witnessed the remarkable success of implicit neural representation methods. The recent work Local Implicit Image Function (LIIF) has achieved satisfactory perform…