ECLIPSE priors for kandinsky v2.2 for T2I and Personalized T2I.
ECLIPSE
community
AI & ML interests
None defined yet.
Organization Card
About org cards
Fuelled by the ambition to redefine the frontiers of AI, our organization is committed to advancing the efficiency and accessibility of cutting-edge image generation technologies. We're on a mission to empower the research community by democratizing high-fidelity, customizable AI solutions, pushing the boundaries of innovation, and making state-of-the-art technologies both accessible and sustainable.
Organization GitHub: https://github.com/eclipse-t2i
Key Projects:
- [CVPR 2024] ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. [Project Page] [GitHub] [Demo] [Checkpoint]
- [CVPR 2024] WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models. [Project Page]
- λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space. [Project Page] [GitHub] [Demo] [Checkpoint]
Collections
2
Collection of research papers published by the organization members
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ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations
Paper • 2312.04655 • Published • 19 -
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Paper • 2402.05195 • Published • 16 -
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
Paper • 2306.04744 • Published • 1 -
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
Paper • 2306.04695 • Published • 1
datasets
None public yet