2 citations · 2 across the 10 of their papers we have counts for
9 papers · 1 filter
IQ-LUT: interpolated and quantized LUT for efficient image super-resolution
Yuxuan Zhang, Zhikai Dong, Xinning Chai +4
Lookup table (LUT) methods demonstrate considerable potential in accelerating image super-resolution inference. However, pursuing higher image quality through larger receptive fiel…
Joint Degradation-Aware Arbitrary-Scale Super-Resolution for Variable-Rate Extreme Image Compression
Xinning Chai, Zhengxue Cheng, Xin Li +2
Recent diffusion-based extreme image compression methods have demonstrated remarkable performance at ultra-low bitrates. However, most approaches require training separate diffusio…
OmniScaleSR: Unleashing Scale-Controlled Diffusion Prior for Faithful and Realistic Arbitrary-Scale Image Super-Resolution
Xinning Chai, Zhengxue Cheng, Yuhong Zhang +5
Arbitrary-scale super-resolution (ASSR) overcomes the limitation of traditional super-resolution (SR) methods that operate only at fixed scales (e.g., 4x), enabling a single model…
Semantic and Temporal Integration in Latent Diffusion Space for High-Fidelity Video Super-Resolution
Yiwen Wang, Xinning Chai, Yuhong Zhang +4
Recent advancements in video super-resolution (VSR) models have demonstrated impressive results in enhancing low-resolution videos. However, due to limitations in adequately contro…
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution
Xinning Chai, Yao Zhang, Yuxuan Zhang +4
Convolutional neural networks (CNNs) have been widely used in efficient image super-resolution. However, for CNN-based methods, performance gains often require deeper networks and…
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
Bin Ren, Hang Guo, Lei Sun +143
This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…
Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution
Yiwen Wang, Ying Liang, Yuxuan Zhang +6
Due to the disparity between real-world degradations in user-generated content(UGC) images and synthetic degradations, traditional super-resolution methods struggle to generalize e…
Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration
Yuhong Zhang, Hengsheng Zhang, Xinning Chai +4
Image restoration is a classic low-level problem aimed at recovering high-quality images from low-quality images with various degradations such as blur, noise, rain, haze, etc. How…
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior
Han Wang, Xinning Chai, Yiwen Wang +3
Colorizing grayscale images offers an engaging visual experience. Existing automatic colorization methods often fail to generate satisfactory results due to incorrect semantic colo…