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Elucidating the Design Space of Diffusion-Based Generative Models
v1v2 (latest)

Elucidating the Design Space of Diffusion-Based Generative Models

1 June 2022
Tero Karras
M. Aittala
Timo Aila
S. Laine
    DiffM
ArXiv (abs)PDFHTML

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

50 / 1,449 papers shown
Title
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Jean-Baptiste Bouvier
Kanghyun Ryu
Kartik Nagpal
Qiayuan Liao
Koushil Sreenath
Negar Mehr
185
2
0
20 Feb 2025
Towards Fusing Point Cloud and Visual Representations for Imitation Learning
Towards Fusing Point Cloud and Visual Representations for Imitation Learning
Atalay Donat
Xiaogang Jia
Xi Huang
Aleksandar Taranovic
Denis Blessing
Ge Li
Hongyi Zhou
Hanyi Zhang
Rudolf Lioutikov
Gerhard Neumann
3DPCSSL
149
1
0
20 Feb 2025
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation
Sihyun Yu
Meera Hahn
Dan Kondratyuk
Jinwoo Shin
Agrim Gupta
José Lezama
Irfan Essa
David A. Ross
Jonathan Huang
DiffMVGen
119
0
0
18 Feb 2025
Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control
Zhuoqun Chen
Xiu Yuan
Tongzhou Mu
Hao Su
111
1
0
18 Feb 2025
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
Ye Tian
L. Yang
Xinchen Zhang
Yunhai Tong
Mengdi Wang
Tengjiao Wang
124
2
0
17 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy
Maximum Entropy Reinforcement Learning with Diffusion Policy
Xiaoyi Dong
Jian Cheng
Xinsong Zhang
129
2
0
17 Feb 2025
SayAnything: Audio-Driven Lip Synchronization with Conditional Video Diffusion
SayAnything: Audio-Driven Lip Synchronization with Conditional Video Diffusion
Junxian Ma
Shiwen Wang
Jian Yang
Junyi Hu
Jian Liang
Guosheng Lin
Jingbo Chen
Kai Li
Yu Meng
DiffMVGen
122
4
0
17 Feb 2025
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model
Weilin Lin
Nanjun Zhou
Yijiao Wang
Jianze Li
Hui Xiong
Li Liu
AAMLDiffM
455
1
0
17 Feb 2025
Single-Step Consistent Diffusion Samplers
Single-Step Consistent Diffusion Samplers
Pascal Jutras-Dubé
Patrick Pynadath
Ruqi Zhang
DiffM
172
0
0
17 Feb 2025
Diffusion Models without Classifier-free Guidance
Diffusion Models without Classifier-free Guidance
Zhicong Tang
Jianmin Bao
Dong Chen
Baining Guo
VLM
85
5
0
17 Feb 2025
Theoretical Benefit and Limitation of Diffusion Language Model
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng
Yihan Geng
Jian Guan
Wei Wu
Liwei Wang
Di He
DiffM
154
2
0
13 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
Ao Li
Wei Fang
Hongbo Zhao
Le Lu
Ge Yang
Minfeng Xu
DiffM
113
1
0
11 Feb 2025
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Filip Ekstrom Kelvinius
Zheng Zhao
Fredrik Lindsten
DiffM
99
3
0
10 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li
Zekai Zhang
Xiang Li
Siyi Chen
Zhihui Zhu
Peng Wang
Qing Qu
DiffM
189
1
0
09 Feb 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models
Rafał Karczewski
Markus Heinonen
Vikas Garg
DiffM
108
1
0
09 Feb 2025
Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets
Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets
Haoye Lu
Qifan Wu
Yaoliang Yu
DiffM
116
2
0
08 Feb 2025
Beyond and Free from Diffusion: Invertible Guided Consistency Training
Chia-Hong Hsu
Shiu-hong Kao
Randall Balestriero
3DV
146
0
0
08 Feb 2025
A Comprehensive Review on Noise Control of Diffusion Model
A Comprehensive Review on Noise Control of Diffusion Model
Zhehao Guo
Jiedong Lang
Shuyu Huang
Yunfei Gao
Xintong Ding
DiffM
79
0
0
07 Feb 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
Hanyang Zhao
Haoxian Chen
Ji Zhang
D. Yao
Wenpin Tang
154
1
0
03 Feb 2025
Improved Training Technique for Latent Consistency Models
Improved Training Technique for Latent Consistency Models
Quan Dao
Khanh Doan
Di Liu
Trung Le
Dimitris N. Metaxas
163
3
0
03 Feb 2025
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models
Xinle Cheng
Zhuoming Chen
Zhihao Jia
DiffMVLM
70
1
0
01 Feb 2025
Spectral Analysis of Diffusion Models with Application to Schedule Design
Spectral Analysis of Diffusion Models with Application to Schedule Design
Roi Benita
Michael Elad
Joseph Keshet
DiffM
131
0
0
31 Jan 2025
TRADES: Generating Realistic Market Simulations with Diffusion Models
TRADES: Generating Realistic Market Simulations with Diffusion Models
Leonardo Berti
Bardh Prenkaj
Paola Velardi
DiffM
245
1
0
31 Jan 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Tongda Xu
Xiyan Cai
Wei Wei
Xingtong Ge
Dailan He
Ming Sun
Jingjing Liu
Yuanhang Zhang
Jian Li
Yan Wang
DiffM
215
3
0
31 Jan 2025
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
Haque Ishfaq
Guangyuan Wang
Sami Nur Islam
Doina Precup
130
4
0
29 Jan 2025
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
Chenguo Lin
Panwang Pan
Bangbang Yang
Zeming Li
Yadong Mu
3DGS
174
9
0
28 Jan 2025
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes
Tim Broedermann
Daniel Gehrig
Yuqian Fu
Luc Van Gool
137
31
0
28 Jan 2025
Visual Generation Without Guidance
Huayu Chen
Kai Jiang
Kaiwen Zheng
Jianfei Chen
Hang Su
Jun Zhu
168
2
0
28 Jan 2025
SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity
Zichen Fan
Steve Dai
Rangharajan Venkatesan
Dennis Sylvester
Brucek Khailany
MQ
138
0
0
28 Jan 2025
EDSep: An Effective Diffusion-Based Method for Speech Source Separation
Jinwei Dong
Xinsheng Wang
Qirong Mao
145
1
0
28 Jan 2025
Robust Representation Consistency Model via Contrastive Denoising
Robust Representation Consistency Model via Contrastive Denoising
Jiachen Lei
Julius Berner
Jiongxiao Wang
Zhongzhu Chen
Zhongjia Ba
Kui Ren
Jun Zhu
Anima Anandkumar
DiffM
158
0
0
22 Jan 2025
Accelerate High-Quality Diffusion Models with Inner Loop Feedback
Accelerate High-Quality Diffusion Models with Inner Loop Feedback
M. Gwilliam
Han Cai
Di Wu
Abhinav Shrivastava
Zhiyu Cheng
228
1
0
22 Jan 2025
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching
Y. Liu
Zhichao Sun
Baosheng Yu
Yitian Zhao
Bo Du
Yongchao Xu
Jun Cheng
84
0
0
20 Jan 2025
Model Synthesis for Zero-Shot Model Attribution
Model Synthesis for Zero-Shot Model Attribution
Tianyun Yang
Juan Cao
Danding Wang
Chang Xu
WIGM
155
4
0
20 Jan 2025
CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation
Alex Berian
Daniel Brignac
JhihYang Wu
Natnael Daba
Abhijit Mahalanobis
DiffM
176
1
0
20 Jan 2025
SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
Sumit Chaturvedi
Mengwei Ren
Yannick Hold-Geoffroy
Jingyuan Liu
Julie Dorsey
Zhixin Shu
DiffM
101
0
0
17 Jan 2025
Generative diffusion model with inverse renormalization group flows
Generative diffusion model with inverse renormalization group flows
Kanta Masuki
Yuto Ashida
DiffM
111
2
0
17 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
Kehang Han
Zehao Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
227
105
0
17 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li
Ronen Basri
Y. Kluger
DiffM
148
2
0
13 Jan 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models
A General Framework for Inference-time Scaling and Steering of Diffusion Models
R. Singhal
Zachary Horvitz
Ryan Teehan
Mengye Ren
Zhou Yu
Kathleen McKeown
Rajesh Ranganath
DiffM
156
31
0
12 Jan 2025
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
Ruben Ciranni
Emilian Postolache
Giorgio Mariani
Michele Mancusi
Giorgio Fabbro
Emanuele Rodolà
Luca Cosmo
278
8
0
10 Jan 2025
Instructive3D: Editing Large Reconstruction Models with Text Instructions
Instructive3D: Editing Large Reconstruction Models with Text Instructions
Kunal Kathare
Ankit Dhiman
K Vikas Gowda
Siddharth Aravindan
Shubham Monga
Basavaraja Shanthappa Vandrotti
Lokesh R. Boregowda
DiffM
76
2
0
08 Jan 2025
Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics
Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics
Alexander Scheinker
MedImDiffM
90
1
0
08 Jan 2025
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer
Michele Mancusi
Yurii Halychanskyi
K. Cheuk
Eloi Moliner
Chieh-Hsin Lai
...
Junghyun Koo
Marco A. Martínez-Ramírez
Wei-Hsiang Liao
Giorgio Fabbro
Yuki Mitsufuji
DiffM
148
4
0
08 Jan 2025
GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking
Weikang Bian
Zhaoyang Huang
Xiaoyu Shi
Yijin Li
Fu-Yun Wang
Hongsheng Li
3DGSVGenDiffM
134
9
0
05 Jan 2025
PQD: Post-training Quantization for Efficient Diffusion Models
Jiaojiao Ye
Zhen Wang
Linnan Jiang
MQ
81
0
0
03 Jan 2025
Generative Modelling with High-Order Langevin Dynamics
Generative Modelling with High-Order Langevin Dynamics
Ziqiang Shi
Rujie Liu
DiffM
137
2
0
03 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Daniela de Albuquerque
John Pearson
DiffM
156
0
0
03 Jan 2025
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models
Suttisak Wizadwongsa
Jinfan Zhou
Edward Li
Jeong Joon Park
3DV
125
0
0
31 Dec 2024
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
Wen-Dao Dai
Ling-Hao Chen
Jingbo Wang
Jinpeng Liu
Bo Dai
Yansong Tang
172
65
0
31 Dec 2024
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