Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2106.15282
Cited By
v1
v2
v3 (latest)
Cascaded Diffusion Models for High Fidelity Image Generation
Journal of machine learning research (JMLR), 2021
30 May 2021
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Cascaded Diffusion Models for High Fidelity Image Generation"
50 / 964 papers shown
Factorized Visual Tokenization and Generation
Zechen Bai
Jianxiong Gao
Ziteng Gao
Pichao Wang
Zheng Zhang
Tong He
Mike Zheng Shou
279
6
0
25 Nov 2024
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Christoph Reinders
Radu Berdan
Beril Besbinar
Junji Otsuka
Daisuke Iso
250
4
0
20 Nov 2024
Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame
Qinglong Cao
Xirui Li
Ding Wang
Yuntian Chen
Chao Ma
Yunbo Wang
DiffM
VGen
620
6
0
18 Nov 2024
Constrained Diffusion with Trust Sampling
Neural Information Processing Systems (NeurIPS), 2024
William Huang
Yifeng Jiang
Tom Van Wouwe
Chenxi Liu
265
7
0
17 Nov 2024
GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization
Yanhao Sun
RunZe Tian
Xiao Han
XinYao Liu
Yan Zhang
Kai Xu
3DGS
DiffM
194
6
0
15 Nov 2024
Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing
Zitao Shuai
Chenwei Wu
Zhengxu Tang
Bowen Song
Liyue Shen
DiffM
284
1
0
12 Nov 2024
GaussianAnything: Interactive Point Cloud Flow Matching For 3D Object Generation
Yushi Lan
Shangchen Zhou
Zhaoyang Lyu
Fangzhou Hong
Shuai Yang
Bo Dai
Xingang Pan
Chen Change Loy
3DGS
391
3
0
12 Nov 2024
Improving image synthesis with diffusion-negative sampling
European Conference on Computer Vision (ECCV), 2024
Alakh Desai
Nuno Vasconcelos
DiffM
210
6
0
08 Nov 2024
ProGraph: Temporally-alignable Probability Guided Graph Topological Modeling for 3D Human Reconstruction
Hongsheng Wang
Zehui Feng
Tong Xiao
Genfan Yang
Shengyu Zhang
Leilei Gan
Feng Lin
DiffM
3DH
253
0
0
07 Nov 2024
Boosting Latent Diffusion with Perceptual Objectives
International Conference on Learning Representations (ICLR), 2024
Tariq Berrada
Pietro Astolfi
Jakob Verbeek
Melissa Hall
Marton Havasi
M. Drozdzal
Yohann Benchetrit
Adriana Romero Soriano
Karteek Alahari
394
0
0
06 Nov 2024
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
Computer Vision and Pattern Recognition (CVPR), 2024
Wei Cheng
Juncheng Mu
Xianfang Zeng
Xin Chen
Anqi Pang
...
Zhibin Wang
Bin-Bin Fu
Gang Yu
Ziwei Liu
Liang Pan
370
19
0
04 Nov 2024
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
Neural Information Processing Systems (NeurIPS), 2024
Giangiacomo Mercatali
Yogesh Verma
André Freitas
Vikas Garg
250
6
0
31 Oct 2024
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis
Hamidreza Eivazi
André Hebenbrock
Raphael Ginster
Steffen Blömeke
Stefan H. A. Wittek
Christoph Herrmann
Thomas S. Spengler
Thomas Turek
Andreas Rausch
306
2
0
31 Oct 2024
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction
Ran Hong
Yuxia Huang
Lei Liu
Zhonghui Wu
Bingxuan Li
X. Wang
Qiegen Liu
MedIm
182
1
0
30 Oct 2024
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution
Shuai Wang
Zexian Li
Tianhui Song
Xubin Li
Bangyu Xiang
Bo Zheng
Liwen Wang
194
9
0
30 Oct 2024
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
Neural Information Processing Systems (NeurIPS), 2024
Jiwoong Park
Yang Shen
DiffM
262
3
0
26 Oct 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
Neural Information Processing Systems (NeurIPS), 2024
Ilan Naiman
Nimrod Berman
Itai Pemper
Idan Arbiv
Gal Fadlon
Omri Azencot
316
30
0
25 Oct 2024
Generative Diffusion Models for Sequential Recommendations
Sharare Zolghadr
Ole Winther
Paul Jeha
DiffM
222
3
0
25 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
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
319
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
Elucidating the design space of language models for image generation
Xuantong Liu
Shaozhe Hao
Xianbiao Qi
Tianyang Hu
Jun Wang
Rong Xiao
Xingtai Lv
VLM
199
6
0
21 Oct 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
Neural Information Processing Systems (NeurIPS), 2024
Giannis Daras
Weili Nie
Karsten Kreis
A. Dimakis
Morteza Mardani
Nikola B. Kovachki
Arash Vahdat
DiffM
344
16
0
21 Oct 2024
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
ZiDong Wang
Zeyu Lu
Di Huang
Cai Zhou
Wanli Ouyang
and Lei Bai
292
9
0
17 Oct 2024
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
Neural Information Processing Systems (NeurIPS), 2024
Yun-Yen Chuang
Hung-Min Hsu
Kevin Lin
Chen-Sheng Gu
Ling Zhen Li
Ray-I Chang
Hung-yi Lee
DiffM
VLM
247
1
0
17 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
Off-dynamics Conditional Diffusion Planners
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Wen Zheng Terence Ng
Jianda Chen
Tianwei Zhang
DiffM
OffRL
312
0
0
16 Oct 2024
MoH: Multi-Head Attention as Mixture-of-Head Attention
International Conference on Machine Learning (ICML), 2024
Peng Jin
Bo Zhu
Li Yuan
Shuicheng Yan
MoE
413
37
0
15 Oct 2024
Jigsaw++: Imagining Complete Shape Priors for Object Reassembly
Jiaxin Lu
Gang Hua
Qixing Huang
262
3
0
15 Oct 2024
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
AAAI Conference on Artificial Intelligence (AAAI), 2024
Junhwa Hur
Charles Herrmann
Saurabh Saxena
Janne Kontkanen
Wei-Sheng Lai
Yichang Shih
Michael Rubinstein
David J. Fleet
Deqing Sun
409
5
0
15 Oct 2024
Improving Long-Text Alignment for Text-to-Image Diffusion Models
International Conference on Learning Representations (ICLR), 2024
Luping Liu
Chao Du
Tianyu Pang
Zehan Wang
Chongxuan Li
Dong Xu
VLM
311
12
0
15 Oct 2024
Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling
Wenze Liu
Le Zhuo
Yi Xin
Sheng Xia
Peng Gao
Xiangyu Yue
227
17
0
14 Oct 2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
Neural Information Processing Systems (NeurIPS), 2024
J. Yao
Wang Cheng
Wenyu Liu
Xinggang Wang
327
39
0
14 Oct 2024
MagicEraser: Erasing Any Objects via Semantics-Aware Control
European Conference on Computer Vision (ECCV), 2024
Fan Li
Zixiao Zhang
Yi Huang
Jianzhuang Liu
Renjing Pei
Bin Shao
Songcen Xu
DiffM
227
12
0
14 Oct 2024
GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation
International Conference on Learning Representations (ICLR), 2024
Dingdong Yang
Yizhi Wang
Konrad Schindler
Ali Mahdavi Amiri
Hao Zhang
244
1
0
13 Oct 2024
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
International Conference on Learning Representations (ICLR), 2024
Huayu Chen
Hang Su
Peize Sun
Jun Zhu
VLM
219
11
0
12 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
230
6
0
11 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
382
27
0
10 Oct 2024
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow
Ruoyi Du
Dongyang Liu
Le Zhuo
Qin Qi
Hongsheng Li
Zhanyu Ma
Peng Gao
295
10
0
10 Oct 2024
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution
ACM Transactions on Graphics (TOG), 2024
Haoyang Li
Zhouhui Lian
240
6
0
09 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
International Conference on Learning Representations (ICLR), 2024
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
713
298
0
09 Oct 2024
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach
ACM Multimedia (MM), 2023
Sha Guo
Zhuo Chen
Yang Zhao
Ning Zhang
Xiaochen Li
Lingyu Duan
DiffM
305
7
0
08 Oct 2024
PixLens: A Novel Framework for Disentangled Evaluation in Diffusion-Based Image Editing with Object Detection + SAM
Stefan Stefanache
Lluís Pastor Pérez
Julen Costa Watanabe
Ernesto Sanchez Tejedor
Thomas Hofmann
Enis Simsar
EGVM
115
0
0
08 Oct 2024
Pyramidal Flow Matching for Efficient Video Generative Modeling
International Conference on Learning Representations (ICLR), 2024
Yang Jin
Zhicheng Sun
Ningyuan Li
Kun Xu
K. Xu
...
Nan Zhuang
Quzhe Huang
Yang Song
Yadong Mu
Zhouchen Lin
VGen
522
208
0
08 Oct 2024
RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
Boyuan Cao
Jiaxin Ye
Yujie Wei
Hongming Shan
300
9
0
08 Oct 2024
GUD: Generation with Unified Diffusion
Mathis Gerdes
Max Welling
Miranda C. N. Cheng
DiffM
194
3
0
03 Oct 2024
RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion
Zhiyuan Li
Yanhui Zhou
Hao Wei
Chenyang Ge
Ajmal Mian
DiffM
295
0
0
03 Oct 2024
ControlAR: Controllable Image Generation with Autoregressive Models
International Conference on Learning Representations (ICLR), 2024
Zongming Li
Tianheng Cheng
Shoufa Chen
Peize Sun
Haocheng Shen
Longjin Ran
Xiaoxin Chen
Wenyu Liu
Xinggang Wang
DiffM
681
36
0
03 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
International Conference on Learning Representations (ICLR), 2024
Zikun Zhang
Zixiang Chen
Quanquan Gu
DiffM
416
13
0
03 Oct 2024
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
International Conference on Learning Representations (ICLR), 2024
Liang Chen
Sinan Tan
Zefan Cai
Weichu Xie
Haozhe Zhao
Yichi Zhang
Junyang Lin
Jinze Bai
Tianyu Liu
Baobao Chang
ViT
257
7
0
02 Oct 2024
Previous
1
2
3
4
5
6
...
18
19
20
Next
Page 5 of 20
Page
of 20
Go