generative art using DALLE2, stable diffusion, midjourney etc, which are diffusion + transformer models.
CLIP presumably goes here.
That Pokemon diffusion post: Adventures in Finetuning Stable Diffusion
How do I run Stable Diffusion and sharing FAQs : StableDiffusion
This startup is setting a DALL-E 2-like AI free, consequences be damned
Google AI Blog: High Fidelity Image Generation Using Diffusion Models
Stability-AI/stablediffusion: High-Resolution Image Synthesis with Latent Diffusion Models
For audio stuff see music diffusion.
References
Dhariwal, Prafulla, and Alex Nichol. 2021. “Diffusion Models Beat GANs on Image Synthesis.” arXiv:2105.05233 [Cs, Stat], June.
Dutordoir, Vincent, Alan Saul, Zoubin Ghahramani, and Fergus Simpson. 2022. “Neural Diffusion Processes.” arXiv.
Han, Xizewen, Huangjie Zheng, and Mingyuan Zhou. 2022. “CARD: Classification and Regression Diffusion Models.” arXiv.
Ho, Jonathan, Ajay Jain, and Pieter Abbeel. 2020. “Denoising Diffusion Probabilistic Models.” arXiv:2006.11239 [Cs, Stat], December.
Hoogeboom, Emiel, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, and Tim Salimans. 2021. “Autoregressive Diffusion Models.” arXiv:2110.02037 [Cs, Stat], October.
Nichol, Alex, and Prafulla Dhariwal. 2021. “Improved Denoising Diffusion Probabilistic Models.” arXiv:2102.09672 [Cs, Stat], February.
Platen, Patrick von, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, and Thomas Wolf. 2022. “Diffusers: State-of-the-Art Diffusion Models.” GitHub.
Sohl-Dickstein, Jascha, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015. “Deep Unsupervised Learning Using Nonequilibrium Thermodynamics.” arXiv:1503.03585 [Cond-Mat, q-Bio, Stat], November.
Song, Jiaming, Chenlin Meng, and Stefano Ermon. 2021. “Denoising Diffusion Implicit Models.” arXiv:2010.02502 [Cs], November.
Song, Yang, and Stefano Ermon. 2020a. “Generative Modeling by Estimating Gradients of the Data Distribution.” In Advances In Neural Information Processing Systems. arXiv.
———. 2020b. “Improved Techniques for Training Score-Based Generative Models.” In Advances In Neural Information Processing Systems. arXiv.
Yang, Ling, Zhilong Zhang, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, and Bin Cui. 2022. “Diffusion Models: A Comprehensive Survey of Methods and Applications.” arXiv.
No comments yet. Why not leave one?