ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Paper • 2502.04320 • Published 19 days ago • 33
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Paper • 2502.04320 • Published 19 days ago • 33 • 3
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Paper • 2502.04320 • Published 19 days ago • 33
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models Paper • 2502.01639 • Published 22 days ago • 24
MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models Paper • 2412.05275 • Published Dec 6, 2024
CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models Paper • 2312.06059 • Published Dec 11, 2023
CLoRA: A Contrastive Approach to Compose Multiple LoRA Models Paper • 2403.19776 • Published Mar 28, 2024
MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance Paper • 2412.05355 • Published Dec 6, 2024 • 9
Transformer Explainer: Interactive Learning of Text-Generative Models Paper • 2408.04619 • Published Aug 8, 2024 • 159