Ablating Concepts in Text-to-Image Diffusion Models

1 code implementation • ICCV 2023 • Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu

To achieve this goal, we propose an efficient method of ablating concepts in the pretrained model, i. e., preventing the generation of a target concept.

Multi-Concept Customization of Text-to-Image Diffusion

2 code implementations • CVPR 2023 • Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

Can we teach a model to quickly acquire a new concept, given a few examples?

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

no code implementations • ICLR 2022 • Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu

We present Reward-Switching Policy Optimization (RSPO), a paradigm to discover diverse strategies in complex RL environments by iteratively finding novel policies that are both locally optimal and sufficiently different from existing ones.

Continuous Control