An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

11 April 2024

Mengdi Wang

Papers citing "An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization"

50 / 60 papers shown

Title
Superscopes: Amplifying Internal Feature Representations for Language Model Interpretation Jonathan Jacobi Gal Niv LRM ReLM 103 0 0 03 Mar 2025
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 84 3 0 03 Sep 2024
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases Sophie Starck Vasiliki Sideri-Lampretsa Bernhard Kainz Martin J. Menten Tamara T. Mueller Daniel Rueckert MedIm 77 2 0 25 Mar 2024
Diffusion Model for Data-Driven Black-Box Optimization Zihao Li Hui Yuan Kaixuan Huang Chengzhuo Ni Yinyu Ye Minshuo Chen Mengdi Wang DiffM 72 11 0 20 Mar 2024
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory Hengyu Fu Zhuoran Yang Mengdi Wang Minshuo Chen DiffM 30 21 0 18 Mar 2024
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models Yuchen Wu Minshuo Chen Zihao Li Mengdi Wang Yuting Wei 85 25 0 03 Mar 2024
Feedback Efficient Online Fine-Tuning of Diffusion Models Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia N. Diamant Alex Tseng Sergey Levine Tommaso Biancalani 64 26 0 26 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 56 47 0 23 Feb 2024
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 69 107 0 07 Aug 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 58 60 0 15 Jun 2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation Jiazheng Xu Xiao Liu Yuchen Wu Yuxuan Tong Qinkai Li Ming Ding Jie Tang Yuxiao Dong 84 360 0 12 Apr 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Cheng Chi Zhenjia Xu S. Feng Eric A. Cousineau Yilun Du Benjamin Burchfiel Russ Tedrake Shuran Song 211 1,112 0 07 Mar 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Zhixuan Liang Yao Mu Mingyu Ding Fei Ni Masayoshi Tomizuka Ping Luo 92 104 0 03 Feb 2023
Latent Diffusion for Language Generation Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 63 76 0 19 Dec 2022
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model Yinhuai Wang Jiwen Yu Jian Zhang DiffM 71 437 0 01 Dec 2022
Score-based Continuous-time Discrete Diffusion Models Haoran Sun Lijun Yu Bo Dai Dale Schuurmans H. Dai DiffM 80 83 0 30 Nov 2022
Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution Chin-Yun Yu Sung-Lin Yeh Gyorgy Fazekas Hao Tang DiffM 62 20 0 27 Oct 2022
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 250 737 0 29 Sep 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 82 810 0 29 Sep 2022
Metal Inpainting in CBCT Projections Using Score-based Generative Model Siyuan Mei F. Fan Andreas Maier DiffM MedIm 201 7 0 20 Sep 2022
Diffusion-based Molecule Generation with Informative Prior Bridges Lemeng Wu Chengyue Gong Xingchao Liu Mao Ye Qiang Liu DiffM 61 110 0 02 Sep 2022
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 48 161 0 10 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 80 3,786 0 26 Jul 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 57 82 0 13 Jun 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 72 444 0 02 Jun 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 129 1,377 0 02 Jun 2022
Torsional Diffusion for Molecular Conformer Generation Bowen Jing Gabriele Corso Jeffrey Chang Regina Barzilay Tommi Jaakkola DiffM BDL 67 266 0 01 Jun 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 201 174 0 26 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 276 6,768 0 13 Apr 2022
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains Yuansi Chen Ronen Eldan 17 79 0 08 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 114 502 0 06 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 138 30,021 0 01 Mar 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization Brandon Trabucco Xinyang Geng Aviral Kumar Sergey Levine OffRL 50 97 0 17 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 57 180 0 11 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 245 809 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 308 1,385 0 24 Jan 2022
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 62 270 0 05 Dec 2021
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization Thanh Nguyen-Tang Sunil R. Gupta A. Nguyen Svetha Venkatesh OffRL 59 30 0 27 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 441 1,617 0 10 Nov 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 187 90 0 31 Aug 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 102 900 0 07 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 32 667 0 10 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 95 665 0 03 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 71 448 0 01 Jun 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech Myeonghun Jeong Hyeongju Kim Sung Jun Cheon Byoung Jin Choi N. Kim DiffM 47 194 0 03 Apr 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 73 193 0 30 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 173 3,599 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 262 6,293 0 26 Nov 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 77 1,429 0 21 Sep 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 138 1,135 0 16 Jun 2020