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Variational Diffusion Models
1 July 2021
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
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Papers citing
"Variational Diffusion Models"
50 / 908 papers shown
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zhongxi Chen
Ke Sun
Xianming Lin
Rongrong Ji
DiffM
255
54
0
29 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
International Conference on Machine Learning (ICML), 2023
Tianqi Chen
Mingyuan Zhou
DiffM
188
11
0
28 May 2023
Towards Consistent Video Editing with Text-to-Image Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Zicheng Zhang
Bonan li
Xuecheng Nie
Congying Han
Tiande Guo
Luoqi Liu
DiffM
136
43
0
27 May 2023
Parallel Sampling of Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Andy Shih
Suneel Belkhale
Stefano Ermon
Dorsa Sadigh
Nima Anari
DiffM
428
99
0
25 May 2023
Counterfactual Generative Models for Time-Varying Treatments
Knowledge Discovery and Data Mining (KDD), 2023
Shenghao Wu
Wen-liang Zhou
Minshuo Chen
Shixiang Zhu
DiffM
CML
510
11
0
25 May 2023
Efficient Neural Music Generation
Neural Information Processing Systems (NeurIPS), 2023
Max W. Y. Lam
Qiao Tian
Tang-Chun Li
Zongyu Yin
Siyuan Feng
...
Mingbo Ma
Xuchen Song
Jitong Chen
Yuping Wang
Yuxuan Wang
DiffM
MGen
249
82
0
25 May 2023
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
International Conference on Learning Representations (ICLR), 2023
Mingxiao Li
Tingyu Qu
Ruicong Yao
Wei Sun
Marie-Francine Moens
DiffM
436
64
0
24 May 2023
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
International Conference on Learning Representations (ICLR), 2023
Yi Ma
Huan Yang
Wenhan Yang
Jianlong Fu
Jiaying Liu
DiffM
370
9
0
24 May 2023
Robust Classification via a Single Diffusion Model
International Conference on Machine Learning (ICML), 2023
Huanran Chen
Yinpeng Dong
Zhengyi Wang
Xiaohu Yang
Chen-Dong Duan
Hang Su
Jun Zhu
349
81
0
24 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Tianyu Yang
Thy Thy Tran
Iryna Gurevych
DiffM
206
1
0
24 May 2023
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
International Conference on Learning Representations (ICLR), 2023
Lingbing Guo
Zhuo Chen
Jiaoyan Chen
Yin Fang
Wen Zhang
Huajun Chen
179
14
0
24 May 2023
Training Diffusion Models with Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Kevin Black
Michael Janner
Yilun Du
Ilya Kostrikov
Sergey Levine
EGVM
566
633
0
22 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Knowledge Discovery and Data Mining (KDD), 2023
Zheng Dong
Zekai Fan
Shixiang Zhu
DiffM
399
6
0
21 May 2023
Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
European Conference on Computer Vision (ECCV), 2023
Jiarui Sun
Girish Chowdhary
DiffM
247
17
0
21 May 2023
Watermarking Diffusion Model
Yugeng Liu
Zheng Li
Michael Backes
Yun Shen
Yang Zhang
WIGM
163
44
0
21 May 2023
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
Han Huang
Leilei Sun
Bowen Du
Weifeng Lv
DiffM
286
22
0
21 May 2023
The probability flow ODE is provably fast
Neural Information Processing Systems (NeurIPS), 2023
Sitan Chen
Sinho Chewi
Holden Lee
Yuanzhi Li
Jianfeng Lu
Adil Salim
DiffM
330
131
0
19 May 2023
Few-shot 3D Shape Generation
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
278
2
0
19 May 2023
Diffusion Language Models Generation Can Be Halted Early
Sofia Maria Lo Cicero Vaina
Nikita Balagansky
Daniil Gavrilov
DiffM
384
0
0
18 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Shitong Shao
Xu Dai
Shouyi Yin
Lujun Li
Huanran Chen
Yang Hu
378
22
0
18 May 2023
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Hao Shi
Kazuki Shimada
M. Hirano
Takashi Shibuya
Yuichiro Koyama
Zhi-Wei Zhong
Shusuke Takahashi
Tatsuya Kawahara
Yuki Mitsufuji
DiffM
254
19
0
18 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Yefei He
Luping Liu
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
DiffM
MQ
462
159
0
18 May 2023
Bayesian Renormalization
D. Berman
Marc S. Klinger
A. G. Stapleton
346
23
0
17 May 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
Neural Information Processing Systems (NeurIPS), 2023
Alexander Shmakov
Kevin Greif
M. Fenton
A. Ghosh
Pierre Baldi
D. Whiteson
DiffM
230
49
0
17 May 2023
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
Daniel de Souza Severo
James Townsend
Ashish Khisti
Alireza Makhzani
171
3
0
16 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
International Conference on Medical Imaging with Deep Learning (MIDL), 2023
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
485
73
0
14 May 2023
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
ACM Transactions on Graphics (TOG), 2023
Xin-Yang Zheng
Hao Pan
Peng-Shuai Wang
Xin Tong
Yang Liu
H. Shum
302
164
0
08 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
International Conference on Machine Learning (ICML), 2023
Kaiwen Zheng
Cheng Lu
Jianfei Chen
Jun Zhu
DiffM
369
49
0
06 May 2023
MUDiff: Unified Diffusion for Complete Molecule Generation
LOG IN (LOG IN), 2023
Chenqing Hua
Sitao Luan
Minkai Xu
Rex Ying
Jie Fu
Stefano Ermon
Doina Precup
DiffM
320
53
0
28 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling
Romann M. Weber
DiffM
184
2
0
25 Apr 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Cheng Lu
Huayu Chen
Jianfei Chen
Hang Su
Chongxuan Li
Jun Zhu
DiffM
OffRL
290
108
0
25 Apr 2023
Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models
Georgios Batzolis
Jan Stanczuk
Carola-Bibiane Schönlieb
DiffM
160
2
0
24 Apr 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
IEEE International Conference on Computer Vision (ICCV), 2023
Berthy Feng
Jamie Smith
Michael Rubinstein
Huiwen Chang
Katherine Bouman
William T. Freeman
DiffM
343
138
0
23 Apr 2023
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models
Seth Bassetti
Brian Hutchinson
Claudia Tebaldi
Ben Kravitz
DiffM
200
12
0
23 Apr 2023
Conditional Denoising Diffusion for Sequential Recommendation
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
Yu Wang
Zhiwei Liu
Liangwei Yang
Philip S. Yu
DiffM
167
36
0
22 Apr 2023
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation
International Conference on Learning Representations (ICLR), 2023
Guoqiang Zhang
Niwa Kenta
W. Kleijn
DiffM
266
9
0
22 Apr 2023
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Computer Vision and Pattern Recognition (CVPR), 2023
Guoqiang Zhang
Niwa Kenta
W. Kleijn
DiffM
143
12
0
22 Apr 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference
IEEE Transactions on Image Processing (IEEE TIP), 2023
Florentin Coeurdoux
N. Dobigeon
P. Chainais
190
30
0
21 Apr 2023
Look ATME: The Discriminator Mean Entropy Needs Attention
Edgardo Solano-Carrillo
Ángel Bueno Rodríguez
Borja Carrillo-Perez
Yannik Steiniger
Jannis Stoppe
DiffM
148
5
0
18 Apr 2023
Towards Controllable Diffusion Models via Reward-Guided Exploration
Heng Zhang
Qifeng Bai
150
5
0
14 Apr 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
IEEE International Conference on Computer Vision (ICCV), 2023
Enze Xie
Lewei Yao
Han Shi
Zhili Liu
Daquan Zhou
Zhaoqiang Liu
Jiawei Li
Zhenguo Li
618
91
0
13 Apr 2023
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting
IEEE International Conference on Computer Vision (ICCV), 2023
Saman Motamed
Jianjin Xu
Chenhuan Wu
Fernando de la Torre
DiffM
279
4
0
12 Apr 2023
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Ning Chen
Jun Yue
Leyuan Fang
Shaobo Xia
DiffM
197
96
0
12 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour
A. Sadeghian
Huangjie Zheng
Amir Sadeghian
Mingyuan Zhou
DiffM
405
148
0
11 Apr 2023
Reflected Diffusion Models
International Conference on Machine Learning (ICML), 2023
Aaron Lou
Stefano Ermon
316
75
0
10 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Computer Vision and Pattern Recognition (CVPR), 2023
Ben Fei
Zhaoyang Lyu
Liang Pan
Junzhe Zhang
Weidong Yang
Tian-jian Luo
Bo Zhang
Bo Dai
DiffM
314
274
0
03 Apr 2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Wen Wang
Yan Jiang
K. Xie
Zide Liu
Hao Chen
Yue Cao
Xinlong Wang
Chunhua Shen
DiffM
VGen
267
136
0
30 Mar 2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
IEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
Konstantina Nikolaidou
George Retsinas
Vincent Christlein
Mathias Seuret
Giorgos Sfikas
Elisa Barney Smith
Hamam Mokayed
Marcus Liwicki
DiffM
199
36
0
29 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Neural Information Processing Systems (NeurIPS), 2023
Kevin Clark
P. Jaini
DiffM
VLM
381
149
0
27 Mar 2023
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos
Computer Vision and Pattern Recognition (CVPR), 2023
Hanlin Wang
Yilu Wu
Sheng Guo
Limin Wang
VGen
DiffM
428
34
0
26 Mar 2023
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