Lobsters
- What are Diffusion Models? https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ 3 comments ai , compsci
- What are Diffusion Models? https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ 15 comments programming
Linking pages
- The Illustrated Stable Diffusion – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-stable-diffusion/ 146 comments
- Diffusion models from scratch https://www.chenyang.co/diffusion.html 40 comments
- How to Train Really Large Models on Many GPUs? | Lil'Log https://lilianweng.github.io/posts/2021-09-25-train-large/ 33 comments
- Diffusion Models https://andrewkchan.dev/posts/diffusion.html 31 comments
- AI Fundamentals: Energy-Based Models | Michal's corner https://mpmisko.github.io/2024/ai-fundamentals-energy-based-models/ 14 comments
- Breaking into ML as a New Grad - by Kndrej Aarpathy https://kndrej.substack.com/p/breaking-into-ml-as-a-new-grad?r=5cyju 13 comments
- Contrastive Representation Learning | Lil'Log https://lilianweng.github.io/posts/2021-05-31-contrastive/ 10 comments
- How diffusion models work: the math from scratch | AI Summer https://theaisummer.com/diffusion-models/ 10 comments
- Latent Diffusion Explained Simply (with Pokémon) | by Leonardo Castorina | Sep, 2022 | Towards AI https://universvm.medium.com/latent-diffusion-explained-simply-with-pok%C3%A9mon-3ebe15a3a019 5 comments
- GitHub - LarsDu/DiffuMon: Basic Denoising Diffusion Probabilistic Model image generator implemented in PyTorch https://github.com/LarsDu/DiffuMon 2 comments
- GitHub - vlgiitr/DL_Topics: List of DL topics and resources essential for cracking interviews https://github.com/vlgiitr/DL_Topics 1 comment
- Diffusion models for document synthesis https://gretel.ai/blog/diffusion-models-for-document-synthesis 0 comments
- Vision Language models: towards multi-modal deep learning | AI Summer https://theaisummer.com/vision-language-models/ 0 comments
- OpenAI and the road to text-guided image generation: DALL·E, CLIP, GLIDE, DALL·E 2 (unCLIP) | by Grigory Sapunov | Intento https://blog.inten.to/openai-and-the-road-to-text-guided-image-generation-dall-e-clip-glide-dall-e-2-unclip-c6e28f7194ea?gi=53c11ab07fab 0 comments
- Learning with not Enough Data Part 3: Data Generation | Lil'Log https://lilianweng.github.io/posts/2022-04-15-data-gen/ 0 comments
- Introduction to Diffusion Models for Image Generation - A Comprehensive Guide https://learnopencv.com/image-generation-using-diffusion-models/ 0 comments
- Consumer AI is Ripe for Centralization | by Siegfriedson | Sort of Like a Tech Diary | Mar, 2023 | Medium https://medium.com/sort-of-like-a-tech-diary/consumer-ai-is-ripe-for-centralization-f3251dfa460e 0 comments
- GitHub - willkurt/linear-diffusion: A minimal Diffusion Model build using only linear components https://github.com/willkurt/linear-diffusion 0 comments
- Perspectives on diffusion – Sander Dieleman https://sander.ai/2023/07/20/perspectives.html 0 comments
- Diffusion Models for Video Generation | Lil'Log https://lilianweng.github.io/posts/2024-04-12-diffusion-video/ 0 comments
Linked pages
- Kullback–Leibler divergence - Wikipedia http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence 74 comments
- [2105.05233] Diffusion Models Beat GANs on Image Synthesis https://arxiv.org/abs/2105.05233 64 comments
- How to Train Really Large Models on Many GPUs? | Lil'Log https://lilianweng.github.io/posts/2021-09-25-train-large/ 33 comments
- [2112.10741] GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models https://arxiv.org/abs/2112.10741 29 comments
- Contrastive Representation Learning | Lil'Log https://lilianweng.github.io/posts/2021-05-31-contrastive/ 10 comments
- [1505.04597] U-Net: Convolutional Networks for Biomedical Image Segmentation https://arxiv.org/abs/1505.04597 8 comments
- A (Long) Peek into Reinforcement Learning | Lil'Log https://lilianweng.github.io/posts/2018-02-19-rl-overview/ 8 comments
- https://www.stats.ox.ac.uk/~teh/research/compstats/WelTeh2011a.pdf 5 comments
- GitHub - CompVis/latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models https://github.com/CompVis/latent-diffusion 5 comments
- [1503.03585] Deep Unsupervised Learning using Nonequilibrium Thermodynamics https://arxiv.org/abs/1503.03585 2 comments
- [2006.11239] Denoising Diffusion Probabilistic Models https://arxiv.org/abs/2006.11239 2 comments
- [2010.02502] Denoising Diffusion Implicit Models https://arxiv.org/abs/2010.02502 1 comment
- [1907.05600] Generative Modeling by Estimating Gradients of the Data Distribution https://arxiv.org/abs/1907.05600 0 comments
- Generative Modeling by Estimating Gradients of the Data Distribution | Yang Song https://yang-song.github.io/blog/2021/score/ 0 comments
- [1905.07088] Sliced Score Matching: A Scalable Approach to Density and Score Estimation https://arxiv.org/abs/1905.07088 0 comments
- [2303.01469] Consistency Models https://arxiv.org/abs/2303.01469 0 comments
- [2212.09748] Scalable Diffusion Models with Transformers https://arxiv.org/abs/2212.09748 0 comments
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