FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

14 October 2024

J. Yao

Wang Cheng

Wenyu Liu

Xinggang Wang

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Papers citing "FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification"

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Title
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 231 7 0 17 Feb 2025
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Bencheng Liao Shaoyu Chen Haoran Yin Bo Jiang Cheng Wang ... Xinbang Zhang Xiangyu Li Y. Zhang Qian Zhang Xinggang Wang 163 35 0 22 Nov 2024
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers Peng Gao Le Zhuo Ziyi Lin Ruoyi Du Xu Luo ... Weicai Ye He Tong Jingwen He Yu Qiao Hongsheng Li VGen 68 89 0 09 May 2024
Condition-Aware Neural Network for Controlled Image Generation Han Cai Zhekai Zhang Zhuoyang Zhang Qinsheng Zhang Ming-Yu Liu Song Han DiffM 32 8 0 01 Apr 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers Nanye Ma Mark Goldstein M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden Saining Xie DiffM 109 200 0 16 Jan 2024
Latte: Latent Diffusion Transformer for Video Generation Xin Ma Yaohui Wang Gengyun Jia Xinyuan Chen Ziqiang Liu Yuan-Fang Li Cunjian Chen Yu Qiao DiffM VGen 227 269 0 05 Jan 2024
Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng Weili Nie Arash Vahdat Anima Anandkumar DiffM 75 73 0 15 Jun 2023
On the Importance of Noise Scheduling for Diffusion Models Ting Chen DiffM 70 155 0 26 Jan 2023
Scalable Adaptive Computation for Iterative Generation Allan Jabri David Fleet Ting-Li Chen DiffM 70 112 0 22 Dec 2022
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 90 2,299 0 19 Dec 2022
On Distillation of Guided Diffusion Models Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 71 520 0 06 Oct 2022
All are Worth Words: A ViT Backbone for Diffusion Models Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 114 352 0 25 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 180 996 0 07 Sep 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 202 1,610 0 07 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 270 30,123 0 01 Mar 2022
MaskGIT: Masked Generative Image Transformer Huiwen Chang Han Zhang Lu Jiang Ce Liu William T. Freeman ViT 139 676 0 08 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 257 509 0 01 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 410 15,486 0 20 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 454 7,739 0 11 Nov 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 258 2,824 0 15 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 151 1,220 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 216 7,831 0 11 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 329 3,675 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 330 6,453 0 26 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 637 41,003 0 22 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 475 3,427 0 09 Mar 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 419 20,127 0 23 Oct 2019
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 105 3,049 0 19 Oct 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015