10 papers
Attribute-Grounded Selective Reasoning for Artwork Emotion Understanding with Multimodal Large Language Models
Cheng Zhang, Yuer Liu, Zhiyu Zhou +2
Multimodal large language models (MLLMs) can produce fluent artwork emotion explanations, but they often suffer from attribute flooding: they enumerate many visible formal attribut…
TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection
Jian-Yu Jiang-Lin, Kang-Yang Huang, Ling Zou +11
Advances in generative modeling have made it increasingly easy to fabricate realistic portrayals of individuals, creating serious risks for security, communication, and public trus…
CookAnything: A Framework for Flexible and Consistent Multi-Step Recipe Image Generation
Ruoxuan Zhang, Bin Wen, Hongxia Xie +5
Cooking is a sequential and visually grounded activity, where each step such as chopping, mixing, or frying carries both procedural logic and visual semantics. While recent diffusi…
Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation
Jhe-Hao Lin, Yi Yao, Chan-Feng Hsu +3
Knowledge distillation (KD) involves transferring knowledge from a pre-trained heavy teacher model to a lighter student model, thereby reducing the inference cost while maintaining…
RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation
Ruoxuan Zhang, Jidong Gao, Bin Wen +4
Creating recipe images is a key challenge in food computing, with applications in culinary education and multimodal recipe assistants. However, existing datasets lack fine-grained…
EmoArt: A Multidimensional Dataset for Emotion-Aware Artistic Generation
Cheng Zhang, Hongxia xie, Bin Wen +3
With the rapid advancement of diffusion models, text-to-image generation has achieved significant progress in image resolution, detail fidelity, and semantic alignment, particularl…