Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
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Open Access
- 1 January 2023
- conference paper
- Published by Association for Computational Linguistics (ACL)
- p. 286-295
Abstract
Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, Denis Dimitrov. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2023.Keywords
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This publication has 13 references indexed in Scilit:
- DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion2023
- Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation2023
- Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior2023
- Magic3D: High-Resolution Text-to-3D Content Creation2023
- Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models2023
- DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation2023
- GLIGEN: Open-Set Grounded Text-to-Image Generation2023
- Scaling up GANs for Text-to-Image Synthesis2023
- High-Resolution Image Synthesis with Latent Diffusion Models2022
- Unsupervised Cross-lingual Representation Learning at Scale2020