10 papers
ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement
Yufeng Yang, Jianzhuang Liu, Jisheng Chu +4
Existing deep learning-based low-light enhancement methods are typically trained on limited datasets with single enhancement targets, which restricts their generalization ability a…
Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework
Linxiao Shi, Siming Zheng, Zerong Wang +5
Existing mobile devices are constrained by compact optical designs, such as small apertures, which make it difficult to produce natural, optically realistic bokeh effects. Although…
MagicFight: Personalized Martial Arts Combat Video Generation
Jiancheng Huang, Mingfu Yan, Songyan Chen +2
Amid the surge in generic text-to-video generation, the field of personalized human video generation has witnessed notable advancements, primarily concentrated on single-person sce…
Seal2Real: Prompt Prior Learning on Diffusion Model for Unsupervised Document Seal Data Generation and Realisation
Mingfu Yan, Jiancheng Huang, Shifeng Chen
Seal-related tasks in document processing-such as seal segmentation, authenticity verification, seal removal, and text recognition under seals-hold substantial commercial importanc…
Contrast-Prior Enhanced Duality for Mask-Free Shadow Removal
Jiyu Wu, Yifan Liu, Jiancheng Huang +2
Existing shadow removal methods often rely on shadow masks, which are challenging to acquire in real-world scenarios. Exploring intrinsic image cues, such as local contrast informa…
Leveraging Contrast Information for Efficient Document Shadow Removal
Yifan Liu, Jiancheng Huang, Na Liu +3
Document shadows are a major obstacle in the digitization process. Due to the dense information in text and patterns covered by shadows, document shadow removal requires specialize…