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Compositional Sculpting of Iterative Generative Processes

Compositional Sculpting of Iterative Generative Processes

28 September 2023
Yixuan Wang
Sebastiaan De Peuter
Mingtong Zhang
Vikas Garg
Samuel Kaski
Tommi Jaakkola
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Compositional Sculpting of Iterative Generative Processes"

30 / 30 papers shown
Title
Generative Trajectory Stitching through Diffusion Composition
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo
Utkarsh Aashu Mishra
Yilun Du
Danfei Xu
444
5
0
07 Mar 2025
Few-Shot Task Learning through Inverse Generative Modeling
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
115
4
0
07 Nov 2024
Amortizing intractable inference in diffusion models for vision, language, and control
Amortizing intractable inference in diffusion models for vision, language, and control
S. Venkatraman
Moksh Jain
Luca Scimeca
Minsu Kim
Marcin Sendera
...
Alexandre Adam
Jarrid Rector-Brooks
Yoshua Bengio
Glen Berseth
Nikolay Malkin
137
31
0
31 May 2024
Unsupervised Compositional Concepts Discovery with Text-to-Image
  Generative Models
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
Nan Liu
Yilun Du
Shuang Li
J. Tenenbaum
Antonio Torralba
DiffMCoGe
46
27
0
08 Jun 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
148
4,113
1
10 Feb 2023
DiffEdit: Diffusion-based semantic image editing with mask guidance
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon
Jakob Verbeek
Holger Schwenk
Matthieu Cord
DiffM
140
507
0
20 Oct 2022
Unifying Generative Models with GFlowNets and Beyond
Unifying Generative Models with GFlowNets and Beyond
Dinghuai Zhang
Ricky T. Q. Chen
Nikolay Malkin
Yoshua Bengio
BDLAI4CE
87
26
0
06 Sep 2022
Testing Relational Understanding in Text-Guided Image Generation
Testing Relational Understanding in Text-Guided Image Generation
C. Conwell
T. Ullman
EGVM
206
66
0
29 Jul 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
193
3,898
0
26 Jul 2022
Compositional Visual Generation with Composable Diffusion Models
Compositional Visual Generation with Composable Diffusion Models
Nan Liu
Shuang Li
Yilun Du
Antonio Torralba
J. Tenenbaum
DiffMCoGe
167
521
0
03 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
404
6,866
0
13 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILMLRM
495
6,240
0
05 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
...
Ted Xiao
Peng Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
184
1,961
0
04 Apr 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&RoLRMAI4CEReLM
817
9,576
0
28 Jan 2022
Learning to Compose Visual Relations
Learning to Compose Visual Relations
Nan Liu
Shuang Li
Yilun Du
J. Tenenbaum
Antonio Torralba
CoGeOCL
71
80
0
17 Nov 2021
Unsupervised Learning of Compositional Energy Concepts
Unsupervised Learning of Compositional Energy Concepts
Yilun Du
Shuang Li
Yash Sharma
J. Tenenbaum
Igor Mordatch
CoGeOCL
74
81
0
04 Nov 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng
Yutong He
Yang Song
Jiaming Song
Jiajun Wu
Jun-Yan Zhu
Stefano Ermon
DiffM
144
1,492
0
02 Aug 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate
  Generation
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
101
331
0
08 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
230
7,857
0
11 May 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie
Chence Shi
Hao Zhou
Yuwei Yang
Weinan Zhang
Yong Yu
Lei Li
88
144
0
18 Mar 2021
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
415
4,953
0
24 Feb 2021
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
341
6,480
0
26 Nov 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
124
2,421
0
18 Jun 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
258
1,161
0
16 Jun 2020
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
131
974
0
06 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,916
0
12 Jul 2019
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,455
0
04 Apr 2017
AdaGAN: Boosting Generative Models
AdaGAN: Boosting Generative Models
Ilya O. Tolstikhin
Sylvain Gelly
Olivier Bousquet
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
GAN
49
226
0
09 Jan 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
303
6,949
0
12 Mar 2015
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
155
6,625
0
22 Dec 2012
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