11 papers
FoveaTree: Information-Density Trees for Query-Guided Visual Token Pruning in Video Large Language Models
Zihan Meng, Weidong Chen, Dexiang Hong +2
Video large language models (Video LLMs) encode each frame into hundreds of visual tokens, making video inference expensive. Existing methods reduce this cost through similarity-ba…
LoViF 2026 The First Challenge on Unified Removal of Raindrops and Reflections: Methods and Results
Zewei He, Xi Tong, Yu Chen +49
This workshop paper comprehensively reviews the First Challenge on Unified Removal of Raindrops and Reflections. The challenge aims to address a frequently encountered practical pr…
The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results
Xiang Chen, Hao Li, Jiangxin Dong +89
This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-wo…
EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation
Dexiang Hong, Yijie Guo, Weidong Chen +4
Emotion-aware artistic image generation requires an image to match the input prompt, follow the specified artistic style, and convey the target emotion. In this challenge, the main…
Audio-Visual Exchange-Aware Token Pruning for Efficient Audio-Visual Captioning
Zihan Meng, Dexiang Hong, Weidong Chen +3
Audio-visual captioning generates natural language descriptions from video and audio content. Multimodal LLMs have advanced this task, but both modalities contribute many tokens to…
CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers
Weidong Chen, Dexiang Hong, Zhendong Mao +4
Graphic design images consist of multiple editable layers, such as text, background, and decorative elements, while most generative models produce rasterized outputs without explic…
EmoVerse: A MLLMs-Driven Emotion Representation Dataset for Interpretable Visual Emotion Analysis
Yijie Guo, Dexiang Hong, Weidong Chen +4
Visual Emotion Analysis (VEA) aims to bridge the affective gap between visual content and human emotional responses. Despite its promise, progress in this field remains limited by…
DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design
Xiwei Hu, Haokun Chen, Zhongqi Qi +4
We present DreamPoster, a Text-to-Image generation framework that intelligently synthesizes high-quality posters from user-provided images and text prompts while maintaining conten…
CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation
Dexiang Hong, Zhao Zhang, Weidong Chen +5
Graphic design plays a crucial role in both commercial and personal contexts, yet creating high-quality, editable, and aesthetically pleasing graphic compositions remains a time-co…
CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design
Hui Zhang, Dexiang Hong, Maoke Yang +7
Graphic design plays a vital role in visual communication across advertising, marketing, and multimedia entertainment. Prior work has explored automated graphic design generation u…
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation
Hui Zhang, Dexiang Hong, Yitong Wang +4
Diffusion models have been recognized for their ability to generate images that are not only visually appealing but also of high artistic quality. As a result, Layout-to-Image (L2I…