Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2107.00630
Cited By
v1
v2
v3
v4
v5
v6 (latest)
Variational Diffusion Models
1 July 2021
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
Re-assign community
ArXiv (abs)
PDF
HTML
Github (315★)
Papers citing
"Variational Diffusion Models"
50 / 908 papers shown
High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching
Guoqiang Zhang
Kenta Niwa
J. P. Lewis
Cedric Mesnage
W. Kleijn
456
0
0
26 Mar 2025
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
Jaihoon Kim
Taehoon Yoon
Jisung Hwang
Minhyuk Sung
DiffM
487
19
0
25 Mar 2025
Generative Dataset Distillation using Min-Max Diffusion Model
Junqiao Fan
Yunjiao Zhou
Min Chang Jordan Ren
Jianfei Yang
DiffM
278
0
0
24 Mar 2025
HyperLoRA: Parameter-Efficient Adaptive Generation for Portrait Synthesis
Computer Vision and Pattern Recognition (CVPR), 2025
Mengtian Li
Jinshu Chen
Wanquan Feng
Bingchuan Li
Fei Dai
Mingcong Liu
Qian He
3DH
246
4
0
21 Mar 2025
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
Computer Vision and Pattern Recognition (CVPR), 2025
Yu Cao
Zengqun Zhao
Ioannis Patras
Shaogang Gong
DiffM
284
2
0
20 Mar 2025
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
Yanchen Luo
Zhiyuan Liu
Yi Zhao
Changhao Nai
Kenji Kawaguchi
Tat-Seng Chua
Xiang Wang
Yang Zhang
Xiang Wang
MedIm
478
0
0
19 Mar 2025
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
Jiawei Zhang
Ziyuan Liu
Leon Yan
Gen Li
Yuantao Gu
552
2
0
13 Mar 2025
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
Xiaoming Zhao
Alexander Schwing
FaML
368
1
0
13 Mar 2025
Probability-Flow ODE in Infinite-Dimensional Function Spaces
Kunwoo Na
Junghyun Lee
Se-Young Yun
Sungbin Lim
285
1
0
13 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
International Conference on Learning Representations (ICLR), 2025
Marianne Arriola
Aaron Gokaslan
Justin T Chiu
Zhihan Yang
Zhixuan Qi
Jiaqi Han
Subham Sekhar Sahoo
Volodymyr Kuleshov
DiffM
653
150
0
12 Mar 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
S. Banerjee
Vinay Kumar Verma
SSL
314
0
0
10 Mar 2025
VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation
Computer Vision and Pattern Recognition (CVPR), 2025
Hanzhi Chen
Boyang Sun
Anran Zhang
Marc Pollefeys
Stefan Leutenegger
LM&Ro
445
29
0
10 Mar 2025
SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
Ouxiang Li
Yuan Wang
Xinting Hu
Houcheng Jiang
Tao Liang
Y. Hao
Guojun Ma
Fuli Feng
DiffM
437
16
0
10 Mar 2025
UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials
Gongbo Zhang
Yongbin Li
Renqian Luo
Pipi Hu
Zeru Zhao
...
Xiuyuan Hu
Li-ming Yuan
Lei Chen
Haiguang Liu
Tao Qin
DiffM
316
3
0
09 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng
Yongxin Chen
Huayu Chen
Guande He
Xuan Li
Jun Zhu
Qinsheng Zhang
DiffM
616
12
0
03 Mar 2025
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
International Conference on Learning Representations (ICLR), 2025
Xingzhuo Guo
Yu Zhang
Baixu Chen
Haoran Xu
Chao Guo
Mingsheng Long
DiffM
AI4TS
357
6
0
02 Mar 2025
Implicit Search via Discrete Diffusion: A Study on Chess
International Conference on Learning Representations (ICLR), 2025
Jiacheng Ye
Zhenyu Wu
Lei Li
Zhiyong Wu
Xin Jiang
Zhiyu Li
Dianbo Sui
DiffM
297
13
0
27 Feb 2025
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
Zekang Weng
Jinjin Shi
Jinwei Wang
Zeming Han
343
0
0
26 Feb 2025
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
Information Processing in Medical Imaging (IPMI), 2025
Farzad Beizaee
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
DiffM
MedIm
722
3
0
24 Feb 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
Taeyoung Yun
Kiyoung Om
Jaewoo Lee
Sujin Yun
Jinkyoo Park
420
5
0
24 Feb 2025
GCC: Generative Color Constancy via Diffusing a Color Checker
Computer Vision and Pattern Recognition (CVPR), 2025
Chen-Wei Chang
Cheng-De Fan
Chia-Che Chang
Yi-Chen Lo
Yu-Chee Tseng
Jiun-Long Huang
Yu-Lun Liu
444
4
0
24 Feb 2025
S4S: Solving for a Diffusion Model Solver
Eric Frankel
Sitan Chen
Haibin Zhang
Pang Wei Koh
Lillian J. Ratliff
Sewoong Oh
DiffM
353
9
0
24 Feb 2025
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis
Yingahao Aaron Li
Rithesh Kumar
Zeyu Jin
DiffM
367
0
0
21 Feb 2025
On Memorization in Diffusion Models
Xiangming Gu
Chao Du
Tianyu Pang
Chongxuan Li
Min Lin
Ye Wang
DiffM
TDI
618
93
0
21 Feb 2025
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation
Ziqiang Liu
Shuangrui Ding
Zhixiong Zhang
Xiaoyi Dong
Pan Zhang
Yuhang Zang
Yuhang Cao
Dahua Lin
Jiaqi Wang
375
19
0
18 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
International Conference on Learning Representations (ICLR), 2025
Zhiyuan Liu
Yanchen Luo
Han Huang
Enzhi Zhang
Changhao Nai
Cunchun Li
Yaorui Shi
Xiang Wang
Kenji Kawaguchi
Tat-Seng Chua
499
19
0
18 Feb 2025
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
Ye Tian
L. Yang
Xinchen Zhang
Yunhai Tong
Mengdi Wang
Tengjiao Wang
315
6
0
17 Feb 2025
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control
Dom Huh
P. Mohapatra
430
1
0
16 Feb 2025
Rolling Ahead Diffusion for Traffic Scene Simulation
Yunpeng Liu
Matthew Niedoba
William Harvey
Adam Scibior
Berend Zwartsenberg
Frank Wood
437
1
0
13 Feb 2025
Rex: Reversible Solvers for Diffusion Models
Zander W. Blasingame
Chen Liu
DiffM
334
0
0
12 Feb 2025
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
Computer Vision and Pattern Recognition (CVPR), 2025
Tai-Yu Pan
Sooyoung Jeon
Mengdi Fan
Jinsu Yoo
Zhenyang Feng
Mark E. Campbell
Kilian Q. Weinberger
Bharath Hariharan
Wei-Lun Chao
604
2
0
10 Feb 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models
Rafał Karczewski
Markus Heinonen
Vikas Garg
DiffM
353
4
0
09 Feb 2025
Dual Caption Preference Optimization for Diffusion Models
Amir Saeidi
Yiran Luo
Agneet Chatterjee
Shamanthak Hegde
Bimsara Pathiraja
Yezhou Yang
Chitta Baral
DiffM
329
1
0
09 Feb 2025
A Comprehensive Review on Noise Control of Diffusion Model
Zhehao Guo
Jiedong Lang
Shuyu Huang
Yunfei Gao
Xintong Ding
DiffM
258
5
0
07 Feb 2025
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
Gian Mario Favero
Parham Saremi
Emily Kaczmarek
Brennan Nichyporuk
Tal Arbel
DiffM
MedIm
316
5
0
06 Feb 2025
IPO: Iterative Preference Optimization for Text-to-Video Generation
Xiaomeng Yang
Zhiyu Tan
Xuecheng Nie
VGen
479
16
0
04 Feb 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Alexander Kolesov
Manukhov Stepan
Vladimir V. Palyulin
Alexander Korotin
387
4
0
04 Feb 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
Hanyang Zhao
Haoxian Chen
Ji Zhang
D. Yao
Wenpin Tang
572
16
0
03 Feb 2025
Visual Generation Without Guidance
Huayu Chen
Kai Jiang
Kaiwen Zheng
Jianfei Chen
Hang Su
Jun Zhu
VLM
446
10
0
26 Jan 2025
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention Maps
British Machine Vision Conference (BMVC), 2025
Andrey Palaev
Adil Mehmood Khan
S. M. Ahsan Kazmi
DiffM
233
0
0
23 Jan 2025
Lossy Compression with Pretrained Diffusion Models
International Conference on Learning Representations (ICLR), 2025
Jeremy Vonderfecht
Feng Liu
DiffM
355
9
0
20 Jan 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
408
5
0
20 Jan 2025
Generative diffusion model with inverse renormalization group flows
Kanta Masuki
Yuto Ashida
DiffM
284
5
0
17 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Neural Information Processing Systems (NeurIPS), 2024
Jiaxin Shi
Kehang Han
Zehao Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
611
289
0
17 Jan 2025
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
Neural Information Processing Systems (NeurIPS), 2024
Yong-Hyun Park
Sangdoo Yun
Jin-Hwa Kim
Junho Kim
Geonhui Jang
Yonghyun Jeong
Junghyo Jo
Gayoung Lee
507
40
0
17 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
International Conference on Learning Representations (ICLR), 2025
Henry Li
Ronen Basri
Y. Kluger
DiffM
459
3
0
13 Jan 2025
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
574
101
0
12 Jan 2025
Personalized Preference Fine-tuning of Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2025
Meihua Dang
Anikait Singh
Linqi Zhou
Stefano Ermon
Jiaming Song
132
13
0
11 Jan 2025
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
Anant Mehta
Bryant McArthur
Nagarjuna Kolloju
Zhengzhong Tu
275
4
0
10 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Neural Information Processing Systems (NeurIPS), 2024
Daniela de Albuquerque
John Pearson
DiffM
451
1
0
03 Jan 2025
Previous
1
2
3
4
5
...
17
18
19
Next
