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A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

27 May 2024
Kai Wang
Yukun Zhou
Mingjia Shi
Zhihang Yuan
Yuzhang Shang
Yuzhang Shang
Hanwang Zhang
Hanwang Zhang
Yang You
ArXivPDFHTML

Papers citing "A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training"

13 / 13 papers shown
Title
RealisDance-DiT: Simple yet Strong Baseline towards Controllable Character Animation in the Wild
RealisDance-DiT: Simple yet Strong Baseline towards Controllable Character Animation in the Wild
Jingkai Zhou
Yifan Wu
Shikai Li
Min Wei
Chao Fan
Weihua Chen
Wei Jiang
Fan Wang
VGen
24
1
0
21 Apr 2025
Entropic Time Schedulers for Generative Diffusion Models
Entropic Time Schedulers for Generative Diffusion Models
Dejan Stancevic
Luca Ambrogioni
DiffM
OOD
36
0
0
18 Apr 2025
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
Ziqi Pang
Xin Xu
Yu-Xiong Wang
DiffM
50
0
0
15 Apr 2025
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
Lexington Whalen
Zhenbang Du
Haoran You
Chaojian Li
Sixu Li
Yingyan
26
0
0
13 Apr 2025
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
Peizhi Niu
Yu-Hsiang Wang
Vishal Rana
Chetan Rupakheti
Abhishek Pandey
O. Milenkovic
16
0
0
08 Apr 2025
Artificial Intelligence for Biomedical Video Generation
Artificial Intelligence for Biomedical Video Generation
Linyuan Li
Jianing Qiu
Anujit Saha
Lin Li
Poyuan Li
Mengxian He
Ziyu Guo
Wu Yuan
VGen
55
1
0
12 Nov 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise
  Assignment
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
Yiheng Li
Heyang Jiang
Akio Kodaira
M. Tomizuka
Kurt Keutzer
Chenfeng Xu
DiffM
16
6
0
18 Jun 2024
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large
  Datasets
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
150
985
0
25 Nov 2023
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
DiffM
116
80
0
25 Mar 2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Ziheng Qin
K. Wang
Zangwei Zheng
Jianyang Gu
Xiang Peng
...
Daquan Zhou
Lei Shang
Baigui Sun
Xuansong Xie
Yang You
94
22
0
08 Mar 2023
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
259
10,183
0
12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
203
7,006
0
21 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
9,999
0
18 May 2015
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