Elucidating the Design Space of Diffusion-Based Generative Models

1 June 2022

Papers citing "Elucidating the Design Space of Diffusion-Based Generative Models"

50 / 413 papers shown

Title
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting S. H. Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 52 1 0 04 Oct 2024
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization Zichen Miao Zhengyuan Yang Kevin Lin Ze Wang Zicheng Liu Lijuan Wang Qiang Qiu 48 3 0 04 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 52 2 0 02 Oct 2024
Joint Localization and Planning using Diffusion Lukas Lao Beyer S. Karaman 40 0 0 26 Sep 2024
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models A. Popov Alperen Degirmenci David Wehr Shashank Hegde Ryan Oldja ... David Nistér Urs Muller Ruchi Bhargava Stan Birchfield Nikolai Smolyanskiy 83 9 0 25 Sep 2024
Improvements to SDXL in NovelAI Diffusion V3 Juan Ossa Eren Doğan Alex Birch F. Johnson 37 1 0 24 Sep 2024
Fundus image enhancement through direct diffusion bridges Sehui Kim Hyungjin Chung Se Hie Park Eui-Sang Chung Kayoung Yi Jong Chul Ye DiffM MedIm 36 0 0 19 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 83 3 0 17 Sep 2024
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think Gonzalo Martin Garcia Karim Abou Zeid Christian Schmidt Daan de Geus Alexander Hermans Bastian Leibe 39 25 0 17 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling Vivek Oommen Aniruddha Bora Zhen Zhang George Karniadakis DiffM 51 14 0 13 Sep 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future Buhua Liu Shitong Shao Bao Li Lichen Bai Zhiqiang Xu Haoyi Xiong James Kwok Sumi Helal Zeke Xie 47 12 0 11 Sep 2024
Contrastive Learning with Synthetic Positives Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Yiyu Shi SyDa SSL 54 1 0 30 Aug 2024
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation Xiaojuan Wang Boyang Zhou Brian L. Curless Ira Kemelmacher-Shlizerman Aleksander Holynski Steven M. Seitz DiffM 61 11 0 27 Aug 2024
Atlas Gaussians Diffusion for 3D Generation Haitao Yang Yuan Dong Hanwen Jiang Dejia Xu Georgios Pavlakos Qixing Huang 3DGS 81 3 0 23 Aug 2024
Real-Time Video Generation with Pyramid Attention Broadcast Xuanlei Zhao Xiaolong Jin Kai Wang Yang You VGen DiffM 77 32 0 22 Aug 2024
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models Jean-Marie Lemercier Eloi Moliner Simon Welker Vesa Valimaki Timo Gerkmann 54 2 0 14 Aug 2024
Diffusion Guided Language Modeling Justin Lovelace Varsha Kishore Yiwei Chen Kilian Q. Weinberger 44 6 0 08 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 44 22 0 05 Aug 2024
Adaptive Planning with Generative Models under Uncertainty Pascal Jutras-Dubé Ruqi Zhang Aniket Bera 36 2 0 02 Aug 2024
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention Mengkang Hu DiffM 51 8 0 01 Aug 2024
Learning Feature-Preserving Portrait Editing from Generated Pairs Bowei Chen Tiancheng Zhi Peihao Zhu Shen Sang Jing Liu Linjie Luo DiffM 33 0 0 29 Jul 2024
Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing Ekaterina Iakovleva Fabio Pizzati Philip Torr Stéphane Lathuiliere DiffM 34 0 0 29 Jul 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
$Denoising L\évy Probabilistic Models$ Denoising L\évy Probabilistic Models Dario Shariatian Umut Simsekli Alain Durmus DiffM 24 2 0 26 Jul 2024
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency Yiming Xie Chun-Han Yao Vikram S. Voleti Huaizu Jiang Varun Jampani VGen 80 39 0 24 Jul 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 47 9 0 22 Jul 2024
Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization Zipeng Qi Lichen Bai Haoyi Xiong Zeke Xie DiffM 39 18 0 19 Jul 2024
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control Sherwin Bahmani Ivan Skorokhodov Aliaksandr Siarohin Willi Menapace Guocheng Qian ... Chaoyang Wang Jiaxu Zou Andrea Tagliasacchi David B. Lindell Sergey Tulyakov VGen DiffM 88 42 0 17 Jul 2024
Physics-Inspired Generative Models in Medical Imaging: A Review Dennis Hein Afshin Bozorgpour Dorit Merhof Ge Wang DiffM MedIm AI4CE 43 0 0 15 Jul 2024
Surgical Text-to-Image Generation C. Nwoye Rupak Bose K. Elgohary Lorenzo Arboit Giorgio Carlino Joël L. Lavanchy Pietro Mascagni N. Padoy MedIm 55 3 0 12 Jul 2024
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation Jian Qian Miao Sun Sifan Zhou Biao Wan Minhao Li Patrick Chiang 46 7 0 05 Jul 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 37 0 0 04 Jul 2024
MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis Dewei Zhou Y. Li Fan Ma Zongxin Yang Yuqing Yang 101 11 0 02 Jul 2024
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing Bingliang Zhang Wenda Chu Julius Berner Chenlin Meng Anima Anandkumar Yang Song DiffM 46 29 0 01 Jul 2024
E.T. the Exceptional Trajectories: Text-to-camera-trajectory generation with character awareness Robin Courant Nicolas Dufour Xi Wang Marc Christie Vicky Kalogeiton VGen 48 4 0 01 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
LCSim: A Large-Scale Controllable Traffic Simulator Yuheng Zhang Tianjian Ouyang Fudan Yu Cong Ma Lei Qiao Jingtao Ding Jian Yuan Yong Li 46 2 0 28 Jun 2024
Towards diffusion models for large-scale sea-ice modelling Tobias S. Finn Charlotte Durand A. Farchi Marc Bocquet J. Brajard 47 2 0 26 Jun 2024
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales Peter Manshausen Y. Cohen Jaideep Pathak Jaideep Pathak Piyush Garg Morteza Mardani K. Kashinath Simon Byrne Noah D. Brenowitz Noah Brenowitz 55 10 0 19 Jun 2024
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Honig Javier Rando Nicholas Carlini Florian Tramèr WIGM AAML 55 16 0 17 Jun 2024
BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation Dongjie Yu Hang Xu Yizhou Chen Yi Ren Jia Pan 39 3 0 14 Jun 2024
WonderWorld: Interactive 3D Scene Generation from a Single Image Hong-Xing Yu Haoyi Duan Charles Herrmann William T. Freeman Jiajun Wu 3DGS VGen 57 37 0 13 Jun 2024
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models J. Nistal Marco Pasini Cyran Aouameur M. Grachten Stefan Lattner DiffM 53 16 0 12 Jun 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems Jiawei Zhang Jiaxin Zhuang Cheng Jin Gen Li Yuantao Gu DiffM 76 1 0 11 Jun 2024
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion Hao Wen Zehuan Huang Yaohui Wang Xinyuan Chen Yu Qiao 105 7 0 05 Jun 2024
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems Jason Hu Bowen Song Xiaojian Xu Liyue Shen Jeffrey A. Fessler MedIm DiffM 46 8 0 04 Jun 2024
Latent Intrinsics Emerge from Training to Relight Xiao Zhang William Gao Seemandhar Jain Michael Maire David.A.Forsyth Anand Bhattad 48 3 0 31 May 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 43 20 0 30 May 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu Yu Sun Yifan Chen Bingliang Zhang Yisong Yue Katherine Bouman DiffM 34 22 0 29 May 2024