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2107.00630
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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
Progressive Compression with Universally Quantized Diffusion Models
International Conference on Learning Representations (ICLR), 2024
Jianlong Wu
Justus C. Will
Stephan Mandt
DiffM
447
5
0
14 Dec 2024
Diffusion Model from Scratch
Wang Zhen
Dong Yunyun
DiffM
309
0
0
14 Dec 2024
Optimizing Few-Step Sampler for Diffusion Probabilistic Model
Jen-Yuan Huang
DiffM
298
0
0
14 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Liang Luo
...
Liang Li
Houcheng Su
Yu Zhong
Wei Liu
Shangsong Liang
OOD
AI4TS
MedIm
300
0
0
13 Dec 2024
Non-Normal Diffusion Models
Henry Li
VLM
DiffM
259
1
0
10 Dec 2024
Score-Optimal Diffusion Schedules
Neural Information Processing Systems (NeurIPS), 2024
Christopher Williams
Andrew Campbell
Arnaud Doucet
Saifuddin Syed
DiffM
320
10
0
10 Dec 2024
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Tianwei Yin
Qiang Zhang
Richard Zhang
William T. Freeman
F. Durand
Eli Shechtman
Xun Huang
VGen
DiffM
575
11
0
10 Dec 2024
[MASK] is All You Need
Vincent Tao Hu
Bjorn Ommer
DiffM
527
8
0
09 Dec 2024
Nested Diffusion Models Using Hierarchical Latent Priors
Computer Vision and Pattern Recognition (CVPR), 2024
Xiao Zhang
Ruoxi Jiang
Rebecca Willett
Michael Maire
BDL
DiffM
363
1
0
08 Dec 2024
Turbo3D: Ultra-fast Text-to-3D Generation
Computer Vision and Pattern Recognition (CVPR), 2024
Hanzhe Hu
Tianwei Yin
Fujun Luan
Yiwei Hu
Hao Tan
Zexiang Xu
Sai Bi
Shubham Tulsiani
Kai Zhang
3DGS
347
6
0
05 Dec 2024
Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization
Jiangweizhi Peng
Zhiwei Tang
Gaowen Liu
Charles Fleming
Mingyi Hong
287
3
0
05 Dec 2024
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
Computer Vision and Pattern Recognition (CVPR), 2024
Gianni Franchi
Dat Nguyen Trong
Nacim Belkhir
Guoxuan Xia
Andrea Pilzer
UQLM
390
3
0
04 Dec 2024
DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation
Qu He
Jinlong Peng
P. Xu
Boyuan Jiang
Xiaobin Hu
...
Wenshu Fan
Yun Wang
Chengjie Wang
Xuelong Li
Jing Zhang
DiffM
617
3
0
04 Dec 2024
Hierarchical VAE with a Diffusion-based VampPrior
Anna Kuzina
Jakub M. Tomczak
DiffM
TPM
BDL
365
3
0
02 Dec 2024
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Michele De Vita
Vasileios Belagiannis
DiffM
420
4
0
29 Nov 2024
Mixed-State Quantum Denoising Diffusion Probabilistic Model
Gino Kwun
Bingzhi Zhang
Quntao Zhuang
DiffM
393
5
0
26 Nov 2024
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory
Eric Hanchen Jiang
Yasi Zhang
Zhi Zhang
Yixin Wan
Andrew Lizarraga
Shufan Li
Ying Nian Wu
DiffM
294
4
0
25 Nov 2024
DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation
PLoS ONE (PLoS ONE), 2024
Yuxuan Yang
Wenwen Qiang
DiffM
586
4
0
25 Nov 2024
Exploiting Watermark-Based Defense Mechanisms in Text-to-Image Diffusion Models for Unauthorized Data Usage
Soumil Datta
Shih-Chieh Dai
Leo Yu
Guanhong Tao
WIGM
328
0
0
22 Nov 2024
Leapfrog Latent Consistency Model (LLCM) for Medical Images Generation
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2024
Lakshmikar R. Polamreddy
Kalyan Roy
Sheng-Han Yueh
Deepshikha Mahato
Shilpa Kuppili
Jialu Li
Youshan Zhang
MedIm
296
3
0
22 Nov 2024
Point Cloud Resampling with Learnable Heat Diffusion
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Wenqiang Xu
Wenrui Dai
Duoduo Xue
Ziyang Zheng
Chenglin Li
Junni Zou
Hongkai Xiong
262
2
0
21 Nov 2024
Hardware-Friendly Diffusion Models with Fixed-Size Reusable Structures for On-Device Image Generation
Sanchar Palit
Sathya Veera Reddy Dendi
Mallikarjuna Talluri
Raj Narayana Gadde
247
0
0
09 Nov 2024
Constant Acceleration Flow
Neural Information Processing Systems (NeurIPS), 2024
Dogyun Park
Sojin Lee
S. Kim
Taehoon Lee
Youngjoon Hong
Hyunwoo J. Kim
261
9
0
01 Nov 2024
Consistency Diffusion Bridge Models
Neural Information Processing Systems (NeurIPS), 2024
Guande He
Kaiwen Zheng
Jianfei Chen
Fan Bao
Jun-Jie Zhu
DiffM
333
13
0
30 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
International Conference on Learning Representations (ICLR), 2024
Justin Deschenaux
Çağlar Gülçehre
480
25
0
28 Oct 2024
One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
Viacheslav Surkov
Chris Wendler
Antonio Mari
Mikhail Terekhov
Justin Deschenaux
Robert West
Çağlar Gülçehre
David Bau
VLM
564
14
0
28 Oct 2024
TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation
International Conference on Learning Representations (ICLR), 2024
Juntong Shi
Minkai Xu
Harper Hua
Hengrui Zhang
Stefano Ermon
J. Leskovec
DiffM
254
1
0
27 Oct 2024
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
Neural Information Processing Systems (NeurIPS), 2024
Jiwoong Park
Yang Shen
DiffM
259
3
0
26 Oct 2024
Your Image is Secretly the Last Frame of a Pseudo Video
Wenlong Chen
Wenlin Chen
Lapo Rastrelli
Yingzhen Li
DiffM
VGen
377
0
0
26 Oct 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Emiel Hoogeboom
Thomas Mensink
Jonathan Heek
Kay Lamerigts
Ruiqi Gao
Tim Salimans
1.0K
38
0
25 Oct 2024
Structured Diffusion Models with Mixture of Gaussians as Prior Distribution
Nanshan Jia
Tingyu Zhu
Haoyu Liu
Zeyu Zheng
DiffM
197
5
0
24 Oct 2024
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
Neural Information Processing Systems (NeurIPS), 2024
Haonan Lin
Mengmeng Wang
Jiahao Wang
Wenbin An
Yan Chen
Yong Liu
Feng Tian
Guang Dai
Jingdong Wang
Qianying Wang
DiffM
317
23
0
24 Oct 2024
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling
International Conference on Learning Representations (ICLR), 2024
Zhengqiang Zhang
Ruihuang Li
Lei Zhang
386
7
0
24 Oct 2024
Rectified Diffusion Guidance for Conditional Generation
Computer Vision and Pattern Recognition (CVPR), 2024
Mengfei Xia
Nan Xue
Yujun Shen
Ran Yi
Tieliang Gong
Wenshu Fan
DiffM
300
11
0
24 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
International Conference on Learning Representations (ICLR), 2024
Shansan Gong
Shivam Agarwal
Yizhe Zhang
Jiacheng Ye
Lin Zheng
...
Peilin Zhao
W. Bi
Jiawei Han
Yuan Yao
Dianbo Sui
AI4CE
385
130
0
23 Oct 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Tao Li
Henger Li
Yunian Pan
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
FedML
184
10
0
22 Oct 2024
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Liam Moroy
Guillaume Bourmaud
Frédéric Champagnat
Jean-François Giovannelli
DiffM
MedIm
297
1
0
21 Oct 2024
FrameBridge: Improving Image-to-Video Generation with Bridge Models
Yuji Wang
Zehua Chen
Xiaoyu Chen
Jun-Jie Zhu
Jianfei Chen
Jianfei Chen
DiffM
VGen
1.0K
13
0
20 Oct 2024
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
International Conference on Learning Representations (ICLR), 2024
Mingyuan Zhou
Huangjie Zheng
Yi Gu
Zhendong Wang
Hai Huang
DiffM
479
31
0
19 Oct 2024
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
Bac Nguyen
and Chieh-Hsin Lai
Yuhta Takida
Naoki Murata
Toshimitsu Uesaka
Stefano Ermon
Yuki Mitsufuji
237
0
0
18 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
International Conference on Learning Representations (ICLR), 2024
Jiacheng Ye
Lei Li
Shansan Gong
Lin Zheng
Xin Jiang
Zhiyu Li
Dianbo Sui
DiffM
LRM
576
71
0
18 Oct 2024
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
Neural Information Processing Systems (NeurIPS), 2024
Jiwan Hur
Dong-Jae Lee
Gyojin Han
Jaehyun Choi
Yunho Jeon
Junmo Kim
DiffM
289
4
0
17 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models
International Conference on Learning Representations (ICLR), 2024
Bruno Mlodozeniec
Runa Eschenhagen
Juhan Bae
Alexander Immer
David Krueger
Richard E. Turner
DiffM
TDI
651
17
0
17 Oct 2024
big.LITTLE Vision Transformer for Efficient Visual Recognition
He Guo
Yulong Wang
Zixuan Ye
Jifeng Dai
Yuwen Xiong
ViT
262
1
0
14 Oct 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2024
Yuxuan Ren
Dihan Zheng
Yu Xie
Peiran Jin
Yu Shi
Lin Huang
Jiyan He
Shengjie Luo
Tao Qin
Tie-Yan Liu
AI4CE
273
3
0
14 Oct 2024
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
International Conference on Learning Representations (ICLR), 2024
Xiangru Zhu
Yixiang Chen
Yaoxian Song
Yanghua Xiao
Zhixu Li
Chengyu Wang
Jun Huang
Bei Yang
Xiaoxiao Xu
EGVM
1.1K
2
0
14 Oct 2024
Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors
IEEE/SICE International Symposium on System Integration (SII), 2024
Jeongho Ahn
Kazuto Nakashima
Koki Yoshino
Y. Iwashita
Ryo Kurazume
DiffM
142
1
0
11 Oct 2024
E-Motion: Future Motion Simulation via Event Sequence Diffusion
Neural Information Processing Systems (NeurIPS), 2024
Song Wu
Zhiyu Zhu
Junhui Hou
Guangming Shi
Jinjian Wu
DiffM
VGen
227
6
0
11 Oct 2024
Scaling Laws For Diffusion Transformers
Zhengyang Liang
Hao He
Ceyuan Yang
Bo Dai
265
27
0
10 Oct 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
Jiatao Gu
Yuyang Wang
Yizhe Zhang
Qihang Zhang
Dinghuai Zhang
Navdeep Jaitly
Josh Susskind
Shuangfei Zhai
DiffM
368
26
0
10 Oct 2024
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