4 papers
Instruction-based Image Editing: A Survey on Data, Models, Evaluation, and Applications
Xianghao Zang, Zijian Jiang, Jiarong Cheng +8
Instruction-based Image Editing (IIE) aims to transform a given image into a new one based on textual instructions. Advances in Large Language Models (LLMs) and Vision-Language Mod…
Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers
Shuo Zhang, Wenzhuo Wu, Huayu Zhang +8
Recent advances in diffusion models have significantly improved image editing. However, challenges persist in handling geometric transformations, such as translation, rotation, and…
Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities
Xihang Qiu, Jiarong Cheng, Yuhao Fang +4
Multimodal Emotion Recognition in Conversations (MERC) enhances emotional understanding through the fusion of multimodal signals. However, unpredictable modality absence in real-wo…
Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning
Zhongao Sun, Jiameng Li, Yuhan Wang +3
Brain tumor segmentation remains a significant challenge, particularly in the context of multi-modal magnetic resonance imaging (MRI) where missing modality images are common in cl…