A single motion module trained on videos adds temporally coherent animation to any personalized text-to-image model derived from the same base without additional tuning.
Taming encoder for zero fine-tuning image customization with text-to-image diffusion models
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Equilibrated Diffusion decomposes concepts in frequency space to independently optimize subject and style embeddings, plus mask-guided diffusion and residual reference attention, for improved subject fidelity and text alignment over baselines.
HyperExpress extracts composable intrinsic concepts from single images via hyperbolic concept learning and concept-wise optimization in diffusion-based models.
citing papers explorer
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AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
A single motion module trained on videos adds temporally coherent animation to any personalized text-to-image model derived from the same base without additional tuning.
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Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization
Equilibrated Diffusion decomposes concepts in frequency space to independently optimize subject and style embeddings, plus mask-guided diffusion and residual reference attention, for improved subject fidelity and text alignment over baselines.
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Intrinsic Concept Extraction Based on Compositional Interpretability
HyperExpress extracts composable intrinsic concepts from single images via hyperbolic concept learning and concept-wise optimization in diffusion-based models.
- Adversarial Concept Distillation for One-Step Diffusion Personalization