5 papers
CoFi-UCGen: Coarse-to-Fine Unsupervised Conditional Generation without Label Priors
Shengxi Li, Zhaokun Hu, Ce Zheng +3
Unsupervised conditional image generation (UCGen) aims to control generation without relying on manually annotated labels, yet remains challenging due to unstructured semantic repr…
Benchmarking and Enhancing VLM for Compressed Image Understanding
Zifu Zhang, Tongda Xu, Siqi Li +4
With the rapid development of Vision-Language Models (VLMs) and the growing demand for their applications, efficient compression of the image inputs has become increasingly importa…
NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results
Xin Li, Jiachao Gong, Xijun Wang +75
This paper presents an overview of the NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models. This challenge utilizes a new short-form UGC (S-…
Hierarchical Semantic Compression for Consistent Image Semantic Restoration
Shengxi Li, Zifu Zhang, Mai Xu +3
The emerging semantic compression has been receiving increasing research efforts most recently, capable of achieving high fidelity restoration during compression, even at extremely…
Continuous Patch Stitching for Block-wise Image Compression
Zifu Zhang, Shengxi Li, Henan Liu +2
Most recently, learned image compression methods have outpaced traditional hand-crafted standard codecs. However, their inference typically requires to input the whole image at the…