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2202.05830
Cited By
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
International Conference on Learning Representations (ICLR), 2022
11 February 2022
Daniel Watson
William Chan
Jonathan Ho
Mohammad Norouzi
DiffM
BDL
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Papers citing
"Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality"
50 / 153 papers shown
Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling
Aihua Zhu
Rui Su
Qinglin Zhao
Li Feng
Meng Shen
Shibo He
DiffM
143
1
0
12 Nov 2025
Unified Long Video Inpainting and Outpainting via Overlapping High-Order Co-Denoising
Shuangquan Lyu
Steven Mao
Yue Ma
DiffM
VGen
372
1
0
05 Nov 2025
GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
Aleksandr Oganov
Ilya Bykov
Eva Neudachina
Mishan Aliev
Alexander Tolmachev
Alexander Sidorov
Aleksandr Zuev
Andrey Okhotin
Denis Rakitin
Aibek Alanov
AI4CE
228
0
0
20 Oct 2025
Riddled basin geometry sets fundamental limits to predictability and reproducibility in deep learning
Andrew Ly
Pulin Gong
AI4CE
232
0
0
07 Oct 2025
FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis
X. Xu
Yanshu Wang
Jinbao Wang
Xiaoning Lei
Guoyang Xie
Guannan Jiang
Zhichao Lu
411
0
0
24 Sep 2025
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
B. Zhu
Ruoyu Wang
Tong Zhao
Hanwang Zhang
Chi Zhang
DiffM
221
12
0
20 Jul 2025
Generative Head-Mounted Camera Captures for Photorealistic Avatars
Shaojie Bai
Seunghyeon Seo
Yida Wang
Chenghui Li
Owen Wang
...
Tianyang Ma
Jason M. Saragih
S. Wei
Nojun Kwak
Hyung Jun Kim
271
0
0
08 Jul 2025
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
Tianrong Chen
Huangjie Zheng
David Berthelot
Jiatao Gu
J. Susskind
Shuangfei Zhai
DiffM
239
1
0
26 Jun 2025
Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations
Shunqi Mao
Wei Guo
Chaoyi Zhang
Jieting Long
Ke Xie
Weidong Cai
DiffM
441
1
0
25 Jun 2025
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning
Jiajin Liu
Dongzhe Fan
Jiacheng Shen
Chuanhao Ji
Daochen Zha
Qiaoyu Tan
314
1
0
12 Jun 2025
2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
Caleb Zheng
Eli Shlizerman
309
0
0
03 Jun 2025
Learning to Integrate Diffusion ODEs by Averaging the Derivatives
Wenze Liu
Xiangyu Yue
499
5
0
20 May 2025
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation
Hengyuan Hu
Aniket Das
Dorsa Sadigh
Nima Anari
DiffM
453
6
0
06 May 2025
ADT: Tuning Diffusion Models with Adversarial Supervision
Dazhong Shen
Guanglu Song
Yuanxing Zhang
Bingqi Ma
Lujundong Li
Shihong Deng
Zhuofan Zong
Y. Liu
DiffM
482
4
0
15 Apr 2025
Diffusion Models for Robotic Manipulation: A Survey
Frontiers in Robotics and AI (Front. Robot. AI), 2025
Rosa Wolf
Yitian Shi
Sheng Liu
Rania Rayyes
621
39
0
11 Apr 2025
Optimal Stepsize for Diffusion Sampling
Jianning Pei
Han Hu
Shuyang Gu
282
5
0
27 Mar 2025
Efficient Personalization of Quantized Diffusion Model without Backpropagation
Computer Vision and Pattern Recognition (CVPR), 2025
H. Seo
Wongi Jeong
Kyungryeol Lee
Se Young Chun
DiffM
MQ
442
2
0
19 Mar 2025
Advances in 4D Generation: A Survey
Qiaowei Miao
Kehan Li
Jinsheng Quan
Zhiyuan Min
Shaojie Ma
Yichao Xu
Yi Yang
Ping Liu
Yawei Luo
632
2
0
18 Mar 2025
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
Jiawei Zhang
Ziyuan Liu
Leon Yan
Gen Li
Yuantao Gu
597
3
0
13 Mar 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models
Vu Tuan Truong Long
Bao Le
DiffM
AAML
1.2K
6
0
26 Feb 2025
Conditional sampling within generative diffusion models
Zheng Zhao
Ziwei Luo
Jens Sjölund
Thomas B. Schon
DiffM
VLM
505
17
0
20 Feb 2025
Spectral Analysis of Diffusion Models with Application to Schedule Design
Roi Benita
Michael Elad
Joseph Keshet
DiffM
561
0
0
31 Jan 2025
EDSep: An Effective Diffusion-Based Method for Speech Source Separation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Jinwei Dong
Xinsheng Wang
Qirong Mao
353
6
0
28 Jan 2025
Pruning for Sparse Diffusion Models based on Gradient Flow
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Ben Wan
Tianyi Zheng
Zhaoyu Chen
Yuxiao Wang
Jia Wang
173
5
0
17 Jan 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI), 2024
Haocheng Huang
Jiaxin Chen
Jinyang Guo
Ruiyi Zhan
Yunhong Wang
DiffM
MQ
380
3
0
21 Dec 2024
Optimizing Few-Step Sampler for Diffusion Probabilistic Model
Jen-Yuan Huang
DiffM
321
0
0
14 Dec 2024
Flow Generator Matching
Zemin Huang
Zhengyang Geng
Weijian Luo
Guo-Jun Qi
569
26
0
25 Oct 2024
Structured Diffusion Models with Mixture of Gaussians as Prior Distribution
Nanshan Jia
Tingyu Zhu
Haoyu Liu
Zeyu Zheng
DiffM
251
6
0
24 Oct 2024
Composing Diffusion Policies for Few-shot Learning of Movement Trajectories
Omkar Patil
Anant Sah
N. Gopalan
DiffM
370
3
0
22 Oct 2024
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach
ACM Multimedia (MM), 2023
Sha Guo
Zhuo Chen
Yang Zhao
Ning Zhang
Xiaochen Li
Lingyu Duan
DiffM
355
8
0
08 Oct 2024
Diffusion Models in 3D Vision: A Survey
Zhen Wang
Dongyuan Li
Xue Liu
Tianyu He
Jiang Bian
Renhe Jiang
MedIm
950
16
0
07 Oct 2024
Schrödinger bridge based deep conditional generative learning
Hanwen Huang
DiffM
251
2
0
25 Sep 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
European Conference on Computer Vision (ECCV), 2024
Alireza Ganjdanesh
Yan Kang
Yuchen Liu
Richard Y. Zhang
Zhe Lin
Heng Huang
DiffM
380
13
0
23 Sep 2024
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation
European Conference on Computer Vision (ECCV), 2024
Wenliang Zhao
Haolin Wang
Jie Zhou
Jiwen Lu
DiffM
220
10
0
05 Sep 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
ACM Computing Surveys (ACM CSUR), 2024
V. T. Truong
Luan Ba Dang
Long Bao Le
DiffM
MedIm
393
56
0
06 Aug 2024
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
European Conference on Computer Vision (ECCV), 2024
Linhan Xia
Chen Tang
Lingfeng Sun
Simone Rossi
Yichen Xie
...
T. Hannagan
Stefano Sabatini
Nicola Poerio
Seon-Phil Jeong
Wei Zhan
276
19
0
01 Aug 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Yushi Huang
Yazhe Niu
Xianglong Liu
Jing Liu
Yuhang Li
Jiwen Lu
Dacheng Tao
MQ
DiffM
793
4
0
28 Jul 2024
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
Haeil Lee
Han S. Lee
Seoyeon Gye
Junmo Kim
DiffM
448
15
0
16 Jul 2024
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
Qinyu Yang
Haoxin Chen
Yong Zhang
Menghan Xia
Xiaodong Cun
Zhixun Su
Ying Shan
DiffM
248
4
0
14 Jul 2024
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
Yunshu Wu
Yingtao Luo
Xianghao Kong
Evangelos E. Papalexakis
Greg Ver Steeg
DiffM
385
4
0
12 Jul 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
Sangwoong Yoon
Himchan Hwang
Dohyun Kwon
Yung-Kyun Noh
Frank C. Park
323
7
0
30 Jun 2024
On Discrete Prompt Optimization for Diffusion Models
Ruochen Wang
Ting Liu
Cho-Jui Hsieh
Boqing Gong
DiffM
314
28
0
27 Jun 2024
Diffusion Model-Based Video Editing: A Survey
Wenhao Sun
Rong-Cheng Tu
Jingyi Liao
Dacheng Tao
VGen
369
48
0
26 Jun 2024
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Lei Chen
Yuan Meng
Chen Tang
Cheng Wang
Jingyan Jiang
Xin Wang
Zhi Wang
Wenwu Zhu
MQ
422
65
0
25 Jun 2024
Diffusion Models in Low-Level Vision: A Survey
Chunming He
Yuqi Shen
Chengyu Fang
Fengyang Xiao
Longxiang Tang
Yulun Zhang
W. Zuo
Zhenhua Guo
Xiu Li
VLM
DiffM
MedIm
647
120
0
17 Jun 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Alireza Ganjdanesh
Reza Shirkavand
Shangqian Gao
Heng Huang
DiffM
VLM
518
11
0
17 Jun 2024
Flow map matching with stochastic interpolants: A mathematical framework for consistency models
Nicholas M. Boffi
M. S. Albergo
Eric Vanden-Eijnden
280
6
0
11 Jun 2024
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis
Computer Vision and Pattern Recognition (CVPR), 2024
Zanlin Ni
Yulin Wang
Renping Zhou
Jiayi Guo
Jinyi Hu
Zhiyuan Liu
Shiji Song
Yuan Yao
Gao Huang
421
32
0
08 Jun 2024
Improving the Training of Rectified Flows
Sangyun Lee
Zinan Lin
Giulia Fanti
349
89
0
30 May 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang
Xin Chen
Jinghan Jia
Yihua Zhang
Chongyu Fan
Jiancheng Liu
Mingyi Hong
Ke Ding
Sijia Liu
DiffM
579
135
0
24 May 2024
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