Media Summary: [CVPR 2024] Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model CVPR 2024 - Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences Recent Text-to-Image (T2I) generation models such as Stable Diffusion and Imagen have made ...
Cvpr 2024 Using Human Feedback - Detailed Analysis & Overview
[CVPR 2024] Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model CVPR 2024 - Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences Recent Text-to-Image (T2I) generation models such as Stable Diffusion and Imagen have made ... [CVPR 2024] Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling P. Marza, L.Matignon, O. Simonin, C. Wolf, Task-conditioned adaptation of visual features in multi-task policy learning, The IEEE / CVF Computer Vision and Pattern Recognition Conference (
[CVPR 2024] Disentangled Pre-training for Human-Object Interaction Detection [CVPR 2024] Improving Distant 3D Object Detection Using 2D Box Supervision