Diffusion models explained How does OpenAIs GLIDE work
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=344w5h24-h8
Diffusion models beat GANs in image synthesis, GLIDE generates images from text descriptions, surpassing even DALL-E in terms of photorealism! Check out this video to learn how diffusion models work. Enjoy the visuals! • SPONSOR: Weights Biases π https://wandb.me/ai-coffee-break • β Check out our daily #MachineLearning Quiz Questions: / aicoffeebreak • β‘οΈ AI Coffee Break Merch! ποΈ https://aicoffeebreak.creator-spring.... • Recommended videos: • πΊ DALL-E video: • OpenAI's DALL-E explained. How GPT-3 ... • πΊ GAN explained video: • GANs explained | Generative Adversari... • πΊ CLIP video: • OpenAI’s CLIP explained! | Examples, ... • Papers: • π GLIDE paper: Nichol, Alex, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen. Glide: Towards photorealistic image generation and editing with text-guided diffusion models. arXiv preprint arXiv:2112.10741 (2021). https://arxiv.org/abs/2112.10741 • π GLIDE mini, demo: https://huggingface.co/spaces/valhall... • π Diffusion models for image generation: Dhariwal, Prafulla, and Alexander Nichol. Diffusion models beat GANs on image synthesis. Advances in Neural Information Processing Systems 34 (2021). https://arxiv.org/abs/2105.05233 • π Original diffusion models paper: Sohl-Dickstein, Jascha, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. Deep unsupervised learning using nonequilibrium thermodynamics. In International Conference on Machine Learning, pp. 2256-2265. PMLR, 2015. https://arxiv.org/abs/1503.03585 • π Check out this awesome blogpost by Lilian Weng: https://lilianweng.github.io/lil-log/... • π Flow-based models: https://lilianweng.github.io/lil-log/... • π DALL-E blog post: https://openai.com/blog/dall-e/ • π» If interested in the basic code of diffusion models, here is a wonderful annotated diffusion model from π€: https://huggingface.co/blog/annotated... • Outline: • 00:00 Diffusion models are cool • 00:33 Weights Biases (Sponsor) • 01:51 4 types of generative models (in 2022) • 05:13 Diffusion models explained • 08:27 Why are diffusion models good at photorealism? – Diffusion models beat GANs • 10:36 GLIDE explained • 12:16 Classifier-guided diffusion, CLIP-guided diffusion • 13:56 Classifier-free guidance • Thanks to our Patrons who support us in Tier 2, 3, 4: π • Don Rosenthal, Dres. Trost GbR, banana.dev -- Kyle Morris, Joel Ang, Julián Salazar, Edvard Grødem • ββββββββββββββββββββββββββ • π₯ Optionally, pay us a coffee to help with our Coffee Bean production! β • Patreon: / aicoffeebreak • Ko-fi: https://ko-fi.com/aicoffeebreak • ββββββββββββββββββββββββββ • ------------------------------------ • π Links: • AICoffeeBreakQuiz: / aicoffeebreak • Twitter: / aicoffeebreak • Reddit: / aicoffeebreak • YouTube: / aicoffeebreak • #AICoffeeBreak #MsCoffeeBean #MachineLearning #AI #researchβ • Video contains the rock emoji designed by OpenMoji – the open-source emoji and icon project. License: CC BY-SA 4.0 • Music π΅ : Tell Me That I Can't (Instrumental) by NEFFEX
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