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Elucidating the Design Space of Diffusion-Based Generative Models

1 June 2022

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

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Title
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction Hyungjin Chung Dohun Lee Jong Chul Ye VGen DiffM 68 2 0 07 Oct 2024
Diffusion Model Predictive Control Guangyao Zhou Sivaramakrishnan Swaminathan Rajkumar Vasudeva Raju J. S. Guntupalli Wolfgang Lehrach Joseph Ortiz Antoine Dedieu Miguel Lázaro-Gredilla Kevin P. Murphy 115 12 0 07 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models Martin Andrae Tomas Landelius Joel Oskarsson Fredrik Lindsten AI4Cl 96 4 0 07 Oct 2024
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration Zhiyu Zhu Jinhui Hou Hui Liu H. Zeng Junhui Hou 88 0 0 07 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation Cheng-i Wang Ge Zhu Jonah Casebeer Julian McAuley Taylor Berg-Kirkpatrick Nicholas J. Bryan 138 7 0 07 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 98 0 0 06 Oct 2024
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis Shitong Shao Zikai Zhou Lichen Bai Haoyi Xiong Bo Han VGen 105 2 0 05 Oct 2024
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning Han Lin Tushar Nagarajan Nicolas Ballas Mido Assran Mojtaba Komeili Joey Tianyi Zhou Koustuv Sinha AI4TS 119 5 0 04 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting Soon Hoe Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 125 2 0 04 Oct 2024
Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach Yaofang Liu Y. Ren Xiaodong Cun Aitor Artola Yang Liu Tieyong Zeng Raymond H. Chan Jean-Michel Morel VGen DiffM 122 3 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 108 6 0 04 Oct 2024
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models Seyedmorteza Sadat Otmar Hilliges Romann M. Weber DiffM 82 13 0 03 Oct 2024
Posterior sampling via Langevin dynamics based on generative priors Vishal Purohit Matthew Repasky Jianfeng Lu Qiang Qiu Yao Xie Xiuyuan Cheng DiffM 80 2 0 02 Oct 2024
Dynamical-generative downscaling of climate model ensembles Ignacio Lopez-Gomez Zhong Yi Wan Leonardo Zepeda-Núñez Tapio Schneider John R. Anderson Fei Sha AI4Cl 59 3 0 02 Oct 2024
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion Biao Zhang Peter Wonka AI4CE 3DV DiffM 99 7 0 02 Oct 2024
Improving Fine-Grained Control via Aggregation of Multiple Diffusion Models Conghan Yue Zhengwei Peng Shiyan Du Zhi Ji Chuangjian Cai Le Wan Dongyu Zhang 89 0 0 02 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 172 3 0 02 Oct 2024
Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising Siyeop Yoon Rui Hu Yuang Wang Matthew Tivnan Young-don Son Dufan Wu Xiang Li Kyungsang Kim Quanzheng Li MedIm DiffM 49 2 0 30 Sep 2024
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function Chenyi Zhuang Ying Hu Pan Gao DiffM VLM 118 11 0 30 Sep 2024
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems Hongkai Zheng Wenda Chu Austin Wang Nikola B. Kovachki Ricardo Baptista Yisong Yue 111 6 0 30 Sep 2024
Simple and Fast Distillation of Diffusion Models Zhenyu Zhou Defang Chen Can Wang Chun Chen Siwei Lyu DiffM 83 8 0 29 Sep 2024
Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms D. Stojanovski Mariana da Silva P. Lamata A. Beqiri Alberto Gomez MedIm DiffM 64 2 0 28 Sep 2024
Conditional Image Synthesis with Diffusion Models: A Survey Zheyuan Zhan Defang Chen Jian-Ping Mei Zhenghe Zhao Jiawei Chen Chun-Yen Chen Siwei Lyu Can Wang VLM 121 10 0 28 Sep 2024
DeBaRA: Denoising-Based 3D Room Arrangement Generation Léopold Maillard Nicolas Sereyjol-Garros Tom Durand Maks Ovsjanikov DiffM 3DV 97 5 0 26 Sep 2024
High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models Siyeop Yoon Y. Oh Xiang Li Y. Xin M. Cereda Quanzheng Li DiffM 29 0 0 26 Sep 2024
Joint Localization and Planning using Diffusion Lukas Lao Beyer S. Karaman 85 0 0 26 Sep 2024
Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang Yuchuan Tian Lei Yu Huao Tang Jie Hu Xiangzhong Fang Hanting Chen DiffM 83 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 172 11 0 25 Sep 2024
Improvements to SDXL in NovelAI Diffusion V3 Juan Ossa Eren Doğan Alex Birch F. Johnson 69 1 0 24 Sep 2024
Controllable Traffic Simulation through LLM-Guided Hierarchical Chain-of-Thought Reasoning Zhiyuan Liu Leheng Li Yuning Wang Haotian Lin Zhizhe Liu Lei He Jianqiang Wang LRM 74 4 0 23 Sep 2024
Blind Spatial Impulse Response Generation from Separate Room- and Scene-Specific Information Francesc Lluís Nils Meyer-Kahlen 63 0 0 23 Sep 2024
Human Hair Reconstruction with Strand-Aligned 3D Gaussians Egor Zakharov V. Sklyarova Michael Black Giljoo Nam Justus Thies Otmar Hilliges 3DGS 3DV 118 13 0 23 Sep 2024
Content-aware Tile Generation using Exterior Boundary Inpainting Sam Sartor Pieter Peers DiffM 68 1 0 21 Sep 2024
Is Tokenization Needed for Masked Particle Modelling? Matthew Leigh Samuel Klein François Charton Tobias Golling Lukas Heinrich Michael Kagan Ines Ochoa Margarita Osadchy 95 8 0 19 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 76 0 0 19 Sep 2024
InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion Models Yan Zheng Lemeng Wu DiffM MDE 41 0 0 18 Sep 2024
PainDiffusion: Learning to Express Pain Quang Tien Dam Tri Tung Nguyen Nguyen D. Tran Joo-Ho Lee Joo-Ho Lee VGen 53 0 0 18 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 202 5 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 140 33 0 17 Sep 2024
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models Bingchen Liu Ehsan Akhgari Alexander Visheratin Aleks Kamko Linmiao Xu Shivam Shrirao Joao Souza Suhail Doshi Daiqing Li Daiqing Li DiffM MLLM 113 60 0 16 Sep 2024
RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models Başak Melis Öcal Maxim Tatarchenko Sezer Karaoglu Theo Gevers DiffM 104 0 0 16 Sep 2024
StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style Diffusion Yinghao Aaron Li Xilin Jiang Cong Han N. Mesgarani DiffM 114 5 0 16 Sep 2024
AttnMod: Attention-Based New Art Styles Shih-Chieh Su DiffM 48 0 0 16 Sep 2024
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models Tingwei Meng Zongren Zou Jérome Darbon George Karniadakis DiffM 88 2 0 15 Sep 2024
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching RuiKang OuYang Bo Qiang José Miguel Hernández-Lobato 166 0 0 15 Sep 2024
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC Y. Zhu Zehao Dou Haoxin Zheng Yasi Zhang Ying Nian Wu Ruiqi Gao DiffM 66 7 0 13 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling Vivek Oommen Aniruddha Bora Zhen Zhang George Karniadakis DiffM 139 19 0 13 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 103 0 0 12 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 Bo Han 124 14 0 11 Sep 2024
Multi-Source Music Generation with Latent Diffusion Zhongweiyang Xu Debottam Dutta Yu-Lin Wei Romit Roy Choudhury DiffM 129 2 0 10 Sep 2024