Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality

11 February 2022

Papers citing "Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality"

50 / 139 papers shown

Title
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation Hengyuan Hu Aniket Das Dorsa Sadigh Nima Anari DiffM 26 0 0 06 May 2025
ADT: Tuning Diffusion Models with Adversarial Supervision Dazhong Shen Guanglu Song Yang Zhang Bingqi Ma Lujundong Li D. Jiang Zhuofan Zong Y. Liu DiffM 50 0 0 15 Apr 2025
Diffusion Models for Robotic Manipulation: A Survey Rosa Wolf Yitian Shi Sheng Liu Rania Rayyes 51 1 0 11 Apr 2025
Optimal Stepsize for Diffusion Sampling Jianning Pei Han Hu Shuyang Gu 50 0 0 27 Mar 2025
Efficient Personalization of Quantized Diffusion Model without Backpropagation H. Seo Wongi Jeong Kyungryeol Lee Se Young Chun DiffM MQ 78 0 0 19 Mar 2025
Advances in 4D Generation: A Survey Qiaowei Miao Kehan Li Jinsheng Quan Zhiyuan Min Shaojie Ma Yichao Xu Yi Yang Yawei Luo 56 0 0 18 Mar 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models Vu Tuan Truong Long Bao Le DiffM AAML 228 0 0 26 Feb 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 73 3 0 20 Feb 2025
Designing Scheduling for Diffusion Models via Spectral Analysis Roi Benita Michael Elad Joseph Keshet DiffM 63 0 0 31 Jan 2025
EDSep: An Effective Diffusion-Based Method for Speech Source Separation Jinwei Dong Xinsheng Wang Qirong Mao 63 0 0 28 Jan 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models Haocheng Huang Jiaxin Chen Jinyang Guo Ruiyi Zhan Yunhong Wang DiffM MQ 80 1 0 21 Dec 2024
Optimizing Few-Step Sampler for Diffusion Probabilistic Model Jen-Yuan Huang DiffM 75 0 0 14 Dec 2024
Flow Generator Matching Zemin Huang Zhengyang Geng Weijian Luo Guo-jun Qi 38 9 0 25 Oct 2024
Structured Diffusion Models with Mixture of Gaussians as Prior Distribution Nanshan Jia Tingyu Zhu Haoyu Liu Zeyu Zheng DiffM 18 2 0 24 Oct 2024
Composing Diffusion Policies for Few-shot Learning of Movement Trajectories Omkar Patil Anant Sah N. Gopalan DiffM 23 1 0 22 Oct 2024
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach Sha Guo Zhuo Chen Yang Zhao Ning Zhang X. Li Lingyu Duan DiffM 59 2 0 08 Oct 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Renhe Jiang Tianyu He Jiang Bian Renhe Jiang MedIm 70 4 0 07 Oct 2024
Schrödinger bridge based deep conditional generative learning Hanwen Huang DiffM 26 1 0 25 Sep 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection Alireza Ganjdanesh Yan Kang Yuchen Liu Richard Y. Zhang Zhe Lin Heng Huang DiffM 37 2 0 23 Sep 2024
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation Wenliang Zhao Haolin Wang Jie Zhou Jiwen Lu DiffM 27 1 0 05 Sep 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 56 16 0 06 Aug 2024
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation Linhan Xia Chen Tang Lingfeng Sun Simone Rossi Yichen Xie ... T. Hannagan Stefano Sabatini Nicola Poerio Seon-Phil Jeong Wei Zhan 27 5 0 01 Aug 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 49 0 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 52 2 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 35 1 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 43 2 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 37 3 0 30 Jun 2024
On Discrete Prompt Optimization for Diffusion Models Ruochen Wang Ting Liu Cho-Jui Hsieh Boqing Gong DiffM 39 6 0 27 Jun 2024
Diffusion Model-Based Video Editing: A Survey Wenhao Sun Rong-Cheng Tu Jingyi Liao Dacheng Tao VGen 66 22 0 26 Jun 2024
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers Lei Chen Yuan Meng Chen Tang Xinzhu Ma Jingyan Jiang Xin Wang Zhi Wang Wenwu Zhu MQ 31 23 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 82 33 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 56 4 0 17 Jun 2024
Flow Map Matching Nicholas M. Boffi M. S. Albergo Eric Vanden-Eijnden 34 6 0 11 Jun 2024
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis Zanlin Ni Yulin Wang Renping Zhou Jiayi Guo Jinyi Hu Zhiyuan Liu Shiji Song Yuan Yao Gao Huang 32 14 0 08 Jun 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 41 20 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 41 53 0 24 May 2024
Learning to Discretize Denoising Diffusion ODEs Vinh Tong Guy Van den Broeck Anji Liu Mathias Niepert Mathias Niepert DiffM 45 4 0 24 May 2024
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models Xiaoshi Wu Yiming Hao Manyuan Zhang Keqiang Sun Zhaoyang Huang Guanglu Song Yu Liu Hongsheng Li EGVM 76 18 0 01 May 2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models Amirmojtaba Sabour Sanja Fidler Karsten Kreis DiffM 40 24 0 22 Apr 2024
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models Haojun Sun Chen Tang Zhi Wang Yuan Meng Jingyan Jiang Xinzhu Ma Wenwu Zhu MQ 39 5 0 15 Apr 2024
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives Yidan Liu Jun Yue Shaobo Xia Pedram Ghamisi Weiying Xie Leyuan Fang DiffM 42 13 0 13 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 37 49 0 11 Apr 2024
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models Neta Shaul Uriel Singer Ricky T. Q. Chen Matt Le Ali K. Thabet Albert Pumarola Y. Lipman DiffM 39 4 0 02 Mar 2024
Accelerating Diffusion Sampling with Optimized Time Steps Shuchen Xue Zhaoqiang Liu Fei Chen Shifeng Zhang Tianyang Hu Enze Xie Zhenguo Li DiffM 41 23 0 27 Feb 2024
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia N. Diamant Alex Tseng Tommaso Biancalani Sergey Levine 42 42 0 23 Feb 2024
Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion Models C. Wu Fernando de la Torre DiffM 29 2 0 21 Feb 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 79 13 0 08 Feb 2024
UniVG: Towards UNIfied-modal Video Generation Ludan Ruan Lei Tian Chuanwei Huang Xu Zhang Xinyan Xiao VGen DiffM 34 3 0 17 Jan 2024
Fixed Point Diffusion Models Xingjian Bai Luke Melas-Kyriazi 18 3 0 16 Jan 2024
Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models Xuewen Liu Zhikai Li Junrui Xiao Qingyi Gu MQ 34 13 0 09 Jan 2024