Constant Rate Schedule: Constant-Rate Distributional Change for Efficient Training and Sampling in Diffusion Modelsby Shuntaro…
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruningby Arundhati S. Shanbhag, Brian B.…
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolutionby Brian B. Moser,…
Aligning Few-Step Diffusion Models with Dense Reward Difference Learningby Ziyi Zhang, Li Shen, Sen Zhang,…
Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generationby Zhihong Liu, Long Qian, Zeyang Liu, Lipeng…
Stealing Training Graphs from Graph Neural Networksby Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia,…
Generating Compositional Scenes via Text-to-image RGBA Instance Generationby Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng…
Constrained Diffusion with Trust Samplingby William Huang, Yifeng Jiang, Tom Van Wouwe, C. Karen LiuFirst…
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlationsby Qixuan Jin,…
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detectionby Ying Yang, De Cheng, Chaowei Fang, Yubiao…