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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.07126 |
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| _version_ | 1866913575923089408 |
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| author | NVIDIA : Atzmon, Yuval Bala, Maciej Balaji, Yogesh Cai, Tiffany Cui, Yin Fan, Jiaojiao Ge, Yunhao Gururani, Siddharth Huffman, Jacob Isaac, Ronald Jannaty, Pooya Karras, Tero Lam, Grace Lewis, J. P. Licata, Aaron Lin, Yen-Chen Liu, Ming-Yu Ma, Qianli Mallya, Arun Martino-Tarr, Ashlee Mendez, Doug Nah, Seungjun Pruett, Chris Reda, Fitsum Song, Jiaming Wang, Ting-Chun Wei, Fangyin Zeng, Xiaohui Zeng, Yu Zhang, Qinsheng |
| author_facet | NVIDIA : Atzmon, Yuval Bala, Maciej Balaji, Yogesh Cai, Tiffany Cui, Yin Fan, Jiaojiao Ge, Yunhao Gururani, Siddharth Huffman, Jacob Isaac, Ronald Jannaty, Pooya Karras, Tero Lam, Grace Lewis, J. P. Licata, Aaron Lin, Yen-Chen Liu, Ming-Yu Ma, Qianli Mallya, Arun Martino-Tarr, Ashlee Mendez, Doug Nah, Seungjun Pruett, Chris Reda, Fitsum Song, Jiaming Wang, Ting-Chun Wei, Fangyin Zeng, Xiaohui Zeng, Yu Zhang, Qinsheng |
| contents | We introduce Edify Image, a family of diffusion models capable of generating photorealistic image content with pixel-perfect accuracy. Edify Image utilizes cascaded pixel-space diffusion models trained using a novel Laplacian diffusion process, in which image signals at different frequency bands are attenuated at varying rates. Edify Image supports a wide range of applications, including text-to-image synthesis, 4K upsampling, ControlNets, 360 HDR panorama generation, and finetuning for image customization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_07126 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models NVIDIA : Atzmon, Yuval Bala, Maciej Balaji, Yogesh Cai, Tiffany Cui, Yin Fan, Jiaojiao Ge, Yunhao Gururani, Siddharth Huffman, Jacob Isaac, Ronald Jannaty, Pooya Karras, Tero Lam, Grace Lewis, J. P. Licata, Aaron Lin, Yen-Chen Liu, Ming-Yu Ma, Qianli Mallya, Arun Martino-Tarr, Ashlee Mendez, Doug Nah, Seungjun Pruett, Chris Reda, Fitsum Song, Jiaming Wang, Ting-Chun Wei, Fangyin Zeng, Xiaohui Zeng, Yu Zhang, Qinsheng Computer Vision and Pattern Recognition Machine Learning We introduce Edify Image, a family of diffusion models capable of generating photorealistic image content with pixel-perfect accuracy. Edify Image utilizes cascaded pixel-space diffusion models trained using a novel Laplacian diffusion process, in which image signals at different frequency bands are attenuated at varying rates. Edify Image supports a wide range of applications, including text-to-image synthesis, 4K upsampling, ControlNets, 360 HDR panorama generation, and finetuning for image customization. |
| title | Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models |
| topic | Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2411.07126 |