Obliviate: Erasing Concepts from Autoregressive Image Generation Models
Obliviate introduces a guidance-based concept erasure method for autoregressive image generation models to remove unwanted elements like nudity or brands while keeping quality high. It achieves this by using KL-based supervision over visual tokens and training over full generation paths, effectively suppressing harmful concepts during the image creation process.