No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

2 July 2024

Papers citing "No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models"

6 / 6 papers shown

Title
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute Sotiris Anagnostidis Gregor Bachmann Yeongmin Kim Jonas Kohler Markos Georgopoulos A. Sanakoyeu Yuming Du Albert Pumarola Ali K. Thabet Edgar Schönfeld 92 0 0 27 Feb 2025
Manifold Preserving Guided Diffusion Yutong He Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka ... Wei-Hsiang Liao Yuki Mitsufuji J. Zico Kolter Ruslan Salakhutdinov Stefano Ermon DiffM 116 66 0 28 Nov 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 180 1,029 0 25 Nov 2023
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 223 724 0 29 Sep 2022
Ethics and Creativity in Computer Vision Negar Rostamzadeh Emily L. Denton Linda Petrini 47 19 0 06 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 360 1,597 0 10 Nov 2021