DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models

5 April 2024

Papers citing "DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models"

6 / 6 papers shown

Title
Generating Synthetic Data via Augmentations for Improved Facial Resemblance in DreamBooth and InstantID Koray Ulusan Benjamin Kiefer DiffM 22 0 0 06 May 2025
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition Rupayan Mallick Sibo Dong Nataniel Ruiz Sarah Adel Bargal DiffM 39 0 0 08 Apr 2025
Adversarial AutoMixup Huafeng Qin Xin Jin Yun Jiang M. El-Yacoubi Xinbo Gao AAML 19 11 0 19 Dec 2023
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 322 1,570 0 10 Nov 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 161 268 0 28 Sep 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 195 173 0 05 Feb 2021