The paradox of diffusion distillation – Sander Dieleman

Linking pages

Diffusion is spectral autoregression – Sander Dieleman https://sander.ai/2024/09/02/spectral-autoregression.html 62 comments
Generating music in the waveform domain – Sander Dieleman https://sander.ai/2020/03/24/audio-generation.html 41 comments
GitHub - SalvatoreRa/ML-news-of-the-week: A collection of the the best ML and AI news every week (research, news, resources) https://github.com/SalvatoreRa/ML-news-of-the-week 8 comments
Perspectives on diffusion – Sander Dieleman https://sander.ai/2023/07/20/perspectives.html 0 comments

Linked pages

DreamFusion: Text-to-3D using 2D Diffusion https://dreamfusion3d.github.io/ 205 comments
Introducing SDXL Turbo: A Real-Time Text-to-Image Generation Model — Stability AI https://stability.ai/news/stability-ai-sdxl-turbo 152 comments
[2210.03142] On Distillation of Guided Diffusion Models https://arxiv.org/abs/2210.03142 49 comments
[2003.08934] NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis https://arxiv.org/abs/2003.08934 11 comments
[1503.02531] Distilling the Knowledge in a Neural Network https://arxiv.org/abs/1503.02531 5 comments
[2311.17042] Adversarial Diffusion Distillation https://arxiv.org/abs/2311.17042 5 comments
[2104.14294] Emerging Properties in Self-Supervised Vision Transformers https://arxiv.org/abs/2104.14294 3 comments
The geometry of diffusion guidance – Sander Dieleman https://sander.ai/2023/08/28/geometry.html 3 comments
Differentiable Image Parameterizations https://distill.pub/2018/differentiable-parameterizations/ 2 comments
[2309.06380] InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation https://arxiv.org/abs/2309.06380 1 comment
[2010.02502] Denoising Diffusion Implicit Models https://arxiv.org/abs/2010.02502 1 comment
[2010.08895] Fourier Neural Operator for Parametric Partial Differential Equations https://arxiv.org/abs/2010.08895#:~:text=The%20classical%20development%20of%20neural,between%20finite-dimensional%20Euclidean%20spaces.&text=Thus%2C%20they%20learn%20an%20entire,one%20instance%20of%20the%20equation. 0 comments
[2206.00927] DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps https://arxiv.org/abs/2206.00927 0 comments
[1301.3781] Efficient Estimation of Word Representations in Vector Space https://arxiv.org/abs/1301.3781 0 comments
[2301.09515] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis https://arxiv.org/abs/2301.09515 0 comments
Musings on typicality – Sander Dieleman https://sander.ai/2020/09/01/typicality.html 0 comments
Diffusion language models – Sander Dieleman https://sander.ai/2023/01/09/diffusion-language.html 0 comments
[2303.01469] Consistency Models https://arxiv.org/abs/2303.01469 0 comments
Guidance: a cheat code for diffusion models – Sander Dieleman https://sander.ai/2022/05/26/guidance.html 0 comments
Perspectives on diffusion – Sander Dieleman https://sander.ai/2023/07/20/perspectives.html 0 comments