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Compositional Visual Generation with Composable Diffusion Models
v1v2v3v4v5v6 (latest)

Compositional Visual Generation with Composable Diffusion Models

3 June 2022
Nan Liu
Shuang Li
Yilun Du
Antonio Torralba
J. Tenenbaum
    DiffMCoGe
ArXiv (abs)PDFHTML

Papers citing "Compositional Visual Generation with Composable Diffusion Models"

24 / 74 papers shown
Title
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
418
4,996
0
24 Feb 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
352
3,716
0
18 Feb 2021
GAN-Control: Explicitly Controllable GANs
GAN-Control: Explicitly Controllable GANs
Alon Shoshan
Nadav Bhonker
Igor Kviatkovsky
Gérard Medioni
CVBM
191
136
0
07 Jan 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood
Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao
Yang Song
Ben Poole
Ying Nian Wu
Diederik P. Kingma
DiffM
64
128
0
15 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models
Improved Contrastive Divergence Training of Energy Based Models
Yilun Du
Shuang Li
J. Tenenbaum
Igor Mordatch
105
144
0
02 Dec 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
353
6,566
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
289
7,469
0
06 Oct 2020
WaveGrad: Estimating Gradients for Waveform Generation
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen
Yu Zhang
Heiga Zen
Ron J. Weiss
Mohammad Norouzi
William Chan
DiffMBDL
109
793
0
02 Sep 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
709
18,310
0
19 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
168
1,887
0
11 Jun 2020
In-Domain GAN Inversion for Real Image Editing
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu
Yujun Shen
Deli Zhao
Bolei Zhou
DiffM
85
642
0
31 Mar 2020
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
319
5,828
0
03 Dec 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based
  Models
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp
Mitch Hill
Tian Han
Song-Chun Zhu
Ying Nian Wu
72
156
0
29 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
617
10,590
0
12 Dec 2018
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple
  Face Attributes
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Taihong Xiao
Jiapeng Hong
Jinwen Ma
CVBM
53
200
0
28 Mar 2018
AttnGAN: Fine-Grained Text to Image Generation with Attentional
  Generative Adversarial Networks
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu
Pengchuan Zhang
Qiuyuan Huang
Han Zhang
Zhe Gan
Xiaolei Huang
Xiaodong He
GANViT
115
1,722
0
28 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
169
7,376
0
27 Oct 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
313
2,387
0
20 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
122
2,728
0
10 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
793
36,881
0
25 Aug 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,416
0
02 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,016
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
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