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- https://thispersondoesnotexist.com/ 927 comments
- Google DeepMind and Isomorphic Labs introduce AlphaFold 3 AI model https://blog.google/technology/ai/google-deepmind-isomorphic-alphafold-3-ai-model/ 572 comments
- Imagen Video https://imagen.research.google/video/ 525 comments
- Veo - Google DeepMind https://deepmind.google/technologies/veo/ 488 comments
- AI Art Generator – Adobe Firefly https://www.adobe.com/sensei/generative-ai/firefly.html 483 comments
- sonauto-platform https://sonauto.ai/ 236 comments
- DreamFusion: Text-to-3D using 2D Diffusion https://dreamfusion3d.github.io/ 205 comments
- Have I been Trained? https://haveibeentrained.com/ 184 comments
- Exploring 12 Million of the 2.3 Billion Images Used to Train Stable Diffusion's Image Generator - Waxy.org https://waxy.org/2022/08/exploring-12-million-of-the-images-used-to-train-stable-diffusions-image-generator/ 150 comments
- Kullback–Leibler divergence - Wikipedia http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence 74 comments
- VideoPoet â Google Research https://sites.research.google/videopoet/ 42 comments
- What are Diffusion Models? | Lil'Log https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ 18 comments
- The Functional Art: An Introduction to Information Graphics and Visualization: Download the Datasaurus: Never trust summary statistics alone; always visualize your data http://www.thefunctionalart.com/2016/08/download-datasaurus-never-trust-summary.html 14 comments
- Computational complexity of mathematical operations - Wikipedia https://en.wikipedia.org/wiki/Computational_complexity_of_mathematical_operations 12 comments
- Adobe’s AI Firefly Used AI-Generated Images From Rivals for Training - Bloomberg https://www.bloomberg.com/news/articles/2024-04-12/adobe-s-ai-firefly-used-ai-generated-images-from-rivals-for-training 10 comments
- GAN Lab: Play with Generative Adversarial Networks in Your Browser! https://poloclub.github.io/ganlab/ 2 comments
- Generative adversarial network - Wikipedia https://en.wikipedia.org/wiki/Generative_adversarial_network 1 comment
- [1907.05600] Generative Modeling by Estimating Gradients of the Data Distribution https://arxiv.org/abs/1907.05600 0 comments
- Eric Jang: Normalizing Flows Tutorial, Part 1: Distributions and Determinants http://blog.evjang.com/2018/01/nf1.html 0 comments
- [2212.09748] Scalable Diffusion Models with Transformers https://arxiv.org/abs/2212.09748 0 comments
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