1 citations · 1 across the 5 of their papers we have counts for
6 papers · 1 filter
The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results
Lei Sun, Hang Guo, Bin Ren +6
This paper reports on the NTIRE 2026 Challenge on Image Denoising, specifically focusing on the high-noise regime (). The competition investigates advanced neural architectu…
Masked Generative Transformer Is What You Need for Image Editing
Wei Chow, Linfeng Li, Xian Sun +14
Diffusion models dominate image editing, yet their global denoising mechanism entangles edited regions with surrounding context, causing modifications to propagate into areas that…
EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing
Wei Chow, Linfeng Li, Lingdong Kong +13
Recent advances in diffusion models (DMs) have achieved exceptional visual quality in image editing tasks. However, the global denoising dynamics of DMs inherently conflate local e…
Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables
Tao Wang, Yong Li, Jingyang Peng +4
Recently, deep learning-based image enhancement algorithms achieved state-of-the-art (SOTA) performance on several publicly available datasets. However, most existing methods fail…
Robust Image Captioning
Daniel Yarnell, Xian Wang
Automated captioning of photos is a mission that incorporates the difficulties of photo analysis and text generation. One essential feature of captioning is the concept of attentio…
Image Super-Resolution Using VDSR-ResNeXt and SRCGAN
Saifuddin Hitawala, Yao Li, Xian Wang +1
Over the past decade, many Super Resolution techniques have been developed using deep learning. Among those, generative adversarial networks (GAN) and very deep convolutional netwo…