Hacker News
- Color-Diffusion: using diffusion models to colorize black and white images https://github.com/ErwannMillon/Color-diffusion 131 comments
- Step-by-Step Diffusion Models: An Elementary Tutorial https://arxiv.org/abs/2406.08929 0 comments
- Matryoshka Diffusion Models https://arxiv.org/abs/2310.15111 43 comments
- RealFill: Image completion using diffusion models https://realfill.github.io/ 194 comments
- Reaction-Diffusion by the Gray-Scott Model: Pearson's Parametrization https://mrob.com/pub/comp/xmorphia/ 7 comments
- Visual Anagrams: Generating optical illusions with diffusion models https://dangeng.github.io/visual_anagrams/ 71 comments
- Stable Diffusion Is the Most Important AI Art Model Ever https://thealgorithmicbridge.substack.com/p/stable-diffusion-is-the-most-important 189 comments
- Diffsound: Discrete Diffusion Model for Text-to-Sound Generation http://dongchaoyang.top/text-to-sound-synthesis-demo/ 3 comments
- Imagen, a text-to-image diffusion model https://gweb-research-imagen.appspot.com/ 634 comments
- Diffusers: Modular Diffusion model library from HuggingFace https://github.com/huggingface/diffusers 5 comments
- Imagen Video: high definition video generation with diffusion models https://imagen.research.google/video/ 473 comments
Lobsters
- Modelling a two-component pair of reaction-diffusion equations in 2D https://www.reddit.com/r/matlab/comments/4y0vw7/modelling_a_twocomponent_pair_of/ 3 comments matlab
- Diffusion Models from Scratch | DDPM PyTorch Implementation https://youtube.com/watch?si=_005yfZfBcWxHePS&v=vu6eKteJWew 3 comments computervision
- [P] Diffusion Models from Scratch | DDPM PyTorch Implementation https://youtube.com/watch?si=4g3BCsoIMhOWmE-K&v=vu6eKteJWew 8 comments machinelearning
- Neural Network Weight Prediction with Diffusion Models https://medium.com/@ceo_44783/neural-network-weight-prediction-with-diffusion-models-fc757fcdcf0e 2 comments learnmachinelearning
- [D] Understanding the diffusion process in denoising diffusion models https://arxiv.org/abs/2006.11239 2 comments machinelearning
- [D] Understanding the math behind diffusion models https://arxiv.org/pdf/2006.11239.pdf 18 comments machinelearning
- Approach for applying Explainable AI on Diffusion Models https://arxiv.org/abs/2210.04885 2 comments learnmachinelearning
- [R] Decision Diffuser: offline RL with generative models https://anuragajay.github.io/decision-diffuser/ 2 comments machinelearning
- What are Diffusion Models? https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ 15 comments programming
- [R] BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis https://arxiv.org/abs/2205.14807 7 comments machinelearning
- [P] app to play with latent diffusion models https://geni.vercel.app/ 5 comments machinelearning
- [R] Video Diffusion Models https://video-diffusion.github.io/ 5 comments machinelearning
- [R] Variational Diffusion Models https://arxiv.org/abs/2107.00630 4 comments machinelearning
- Nanobubbles diffusion in bcc uranium: Theory and atomistic modelling https://www.sciencedirect.com/science/article/pii/s002231151931414x?via%3Dihub 5 comments science
- Diffusion model predicts crime rate http://www.physorg.com/news188504204.html 3 comments science
- Generative Diffusion Models explained step-by-step in 15 concepts! https://youtu.be/w8YQcEd77_o 0 comments learnmachinelearning
- [R] Diffusion Models Beat GANs on Image Synthesis https://arxiv.org/abs/2105.05233 13 comments machinelearning
- Stable Diffusion from Scratch in PyTorch | Part II - Conditional Latent Diffusion Models https://youtube.com/watch?si=imX8hj5hAGOU8QAl&v=hEJjg7VUA8g 3 comments deeplearning
- [P] Extremely short and simple implementation of Denoising Diffusion Model, for educational purpose https://preview.redd.it/ciqldb2kemt81.png?auto=webp&format=png&s=7819553f78f3ca78c26f24198959173571c3e38a&width=122 13 comments machinelearning
- [R] DiffusionCLIP: Text-Guided Diffusion Models for "Robust" Image Manipulation (CVPR 2022) https://www.reddit.com/gallery/tvug94 10 comments machinelearning
- [P] Finetuned Diffusion: multiple fine-tuned Stable Diffusion models, trained on different styles https://huggingface.co/spaces/anzorq/finetuned_diffusion 62 comments machinelearning
- [D] Diffusion Models Beat GANs on Image Synthesis Explained: 5-minute paper summary (by Casual GAN Papers) https://t.me/casual_gan/228 7 comments machinelearning
- [R] Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models https://arxiv.org/pdf/2306.04675.pdf 16 comments machinelearning
- Another global warming contrarian paper found to be unrealistic and inaccurate. These errors are the sort of thing that could have been avoided by consulting any elementary textbook on heat transfer, or any number of papers that have published similar ocean diffusion models. http://www.theguardian.com/environment/climate-consensus-97-per-cent/2014/oct/21/global-warming-contrarian-paper-unrealistic-inaccurate 121 comments science
- [R] "Broken Neural Scaling Laws" paper; Presents new Functional Form that yields SotA Extrapolation of Scaling behavior for each task within large, diverse set of downstream tasks, including large-scale Vision, NLP, Diffusion Models, "Emergent" "Unpredictable" Math, Double Descent, & RL. https://arxiv.org/abs/2210.14891 2 comments machinelearning
- There's a lot happening in generative AI in text generation (GPT 3, Bloom), image generation (Stable diffusion, OpenAI), video generation (Makeavideo, runwayML). Here's our (Play.ht's) very first model for speech generation, I'd love to hear the community's thoughts on this! https://www.producthunt.com/posts/peregrine 17 comments programming
- [D] Democratizing Diffusion Models - LDMs: High-Resolution Image Synthesis with Latent Diffusion Models, a 5-minute paper summary by Casual GAN Papers https://t.me/casual_gan/293 5 comments machinelearning
- [R] GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. Implementation and pre-trained model of ‘glide-text2im’ also released by OpenAI. https://arxiv.org/abs/2112.10741 23 comments machinelearning