Diffusion Probabilistic Model Made Slim

27 November 2022

Papers citing "Diffusion Probabilistic Model Made Slim"

50 / 59 papers shown

Title
Unveiling Impact of Frequency Components on Membership Inference Attacks for Diffusion Models Puwei Lian Yujun Cai Songze Li 72 0 0 27 May 2025
One-Step Diffusion-Based Image Compression with Semantic Distillation Naifu Xue Zhaoyang Jia Jiahao Li Bin Li Yuan Zhang Yan Lu DiffM 95 0 0 22 May 2025
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration Haipeng Fang Sheng Tang Juan Cao Enshuo Zhang Fan Tang Tong-Yee Lee 69 0 0 16 May 2025
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering Zhe Zhang Mingxiu Cai Haoran Wang Gaochang Wu Tianyou Chai Xiatian Zhu 92 0 0 02 May 2025
Sparse-to-Sparse Training of Diffusion Models Inês Cardoso Oliveira Decebal Constantin Mocanu Luis A. Leiva DiffM 142 0 0 30 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation Wangbo Zhao Yizeng Han Jiasheng Tang Kai Wang Hao Luo Yibing Song Gao Huang Fan Wang Yang You 132 0 0 09 Apr 2025
Physics-informed 4D X-ray image reconstruction from ultra-sparse spatiotemporal data Zisheng Yao Yuhe Zhang Zhe Hu Robert Klöfkorn Tobias Ritschel Pablo Villanueva-Perez AI4CE 97 0 0 04 Apr 2025
A Bias-Free Training Paradigm for More General AI-generated Image Detection Fabrizio Guillaro Giada Zingarini Ben Usman Avneesh Sud D. Cozzolino L. Verdoliva DiffM 115 5 0 23 Dec 2024
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation Sunjae Yoon Gwanhyeong Koo Younghwan Lee Chang D. Yoo VGen 109 4 0 31 Oct 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang Miao Zhang Yuzhang Shang Jianlong Wu Yan Yan Liqiang Nie DiffM 91 10 0 05 Sep 2024
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models Jean-Marie Lemercier Eloi Moliner Simon Welker Vesa Valimaki Timo Gerkmann 105 3 0 14 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 72 0 0 28 Jul 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 130 4 0 17 Jun 2024
Faster Diffusion via Temporal Attention Decomposition Haozhe Liu Wentian Zhang Jinheng Xie Francesco Faccio Mengmeng Xu Tao Xiang Mike Zheng Shou Juan-Manuel Perez-Rua Jürgen Schmidhuber DiffM 122 22 0 03 Apr 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 116 6 0 15 Mar 2024
Partial Network Cloning Jingwen Ye Songhua Liu Xinchao Wang CLL 61 14 0 19 Mar 2023
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
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 135 1,528 0 05 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 190 3,885 0 26 Jul 2022
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation Mengping Yang Zhe Wang Ziqiu Chi Wenyi Feng 59 51 0 15 Jul 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 208 1,419 0 02 Jun 2022
Understanding The Robustness in Vision Transformers Daquan Zhou Zhiding Yu Enze Xie Chaowei Xiao Anima Anandkumar Jiashi Feng J. Álvarez ViT 125 191 0 26 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 382 6,859 0 13 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 204 1,610 0 07 Apr 2022
Perception Prioritized Training of Diffusion Models Jooyoung Choi Jungbeom Lee Chaehun Shin Sungwon Kim Hyunwoo J. Kim Sung-Hoon Yoon DiffM 93 249 0 01 Apr 2022
Searching for Network Width with Bilaterally Coupled Network Xiu Su Shan You Jiyang Xie Fei Wang Chao Qian Changshui Zhang Chang Xu 50 6 0 25 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 97 646 0 20 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 89 344 0 17 Jan 2022
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 334 3,600 0 20 Dec 2021
On the Frequency Bias of Generative Models Katja Schwarz Yiyi Liao Andreas Geiger 80 78 0 03 Nov 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs Christoph Schuhmann Richard Vencu Romain Beaumont R. Kaczmarczyk Clayton Mullis Aarush Katta Theo Coombes J. Jitsev Aran Komatsuzaki VLM MLLM CLIP 223 1,428 0 03 Nov 2021
Co-advise: Cross Inductive Bias Distillation Sucheng Ren Zhengqi Gao Tianyu Hua Zihui Xue Yonglong Tian Shengfeng He Hang Zhao 69 52 0 23 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 65 681 0 10 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 219 7,831 0 11 May 2021
AutoSpace: Neural Architecture Search with Less Human Interference Daquan Zhou Xiaojie Jin Xiaochen Lian Linjie Yang Yujing Xue Qibin Hou Jiashi Feng 43 10 0 22 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 329 3,675 0 18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 141 663 0 22 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 233 277 0 07 Jan 2021
Focal Frequency Loss for Image Reconstruction and Synthesis Liming Jiang Bo Dai Wayne Wu Chen Change Loy 94 282 0 23 Dec 2020
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
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 260 7,356 0 06 Oct 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 210 231 0 23 Mar 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank Thorsten Eisenhofer Lea Schonherr Asja Fischer D. Kolossa Thorsten Holz 73 552 0 19 Mar 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density Ronen Basri Meirav Galun Amnon Geifman David Jacobs Yoni Kasten S. Kritchman 68 184 0 10 Mar 2020
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 175 1,217 0 21 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 243 3,902 0 12 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 116 1,602 0 18 Jun 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 102 417 0 17 May 2019
Structured Knowledge Distillation for Dense Prediction Yifan Liu Chris Liu Jingdong Wang Zhenbo Luo 67 583 0 11 Mar 2019