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Improving In-Context Learning in Diffusion Models with Visual
  Context-Modulated Prompts

Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts

3 December 2023
Tianqi Chen
Yongfei Liu
Zhendong Wang
Jianbo Yuan
Quanzeng You
Hongxia Yang
Mingyuan Zhou
    VLM
ArXiv (abs)PDFHTML

Papers citing "Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts"

29 / 29 papers shown
Title
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
184
4,180
1
10 Feb 2023
What Makes Good Examples for Visual In-Context Learning?
What Makes Good Examples for Visual In-Context Learning?
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
MLLMVPVLMVLMLRM
90
117
0
31 Jan 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
122
2,436
0
19 Dec 2022
Images Speak in Images: A Generalist Painter for In-Context Visual
  Learning
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
Xinlong Wang
Wen Wang
Yue Cao
Chunhua Shen
Tiejun Huang
VLMMLLM
141
262
0
05 Dec 2022
Active Example Selection for In-Context Learning
Active Example Selection for In-Context Learning
Yiming Zhang
Shi Feng
Chenhao Tan
SILMLRM
101
206
0
08 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert
  Denoisers
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji
Seungjun Nah
Xun Huang
Arash Vahdat
Jiaming Song
...
Timo Aila
S. Laine
Bryan Catanzaro
Tero Karras
Xuan Li
VLMMoE
177
831
0
02 Nov 2022
Visual Prompting via Image Inpainting
Visual Prompting via Image Inpainting
Amir Bar
Yossi Gandelsman
Trevor Darrell
Amir Globerson
Alexei A. Efros
VLMVPVLM
71
212
0
01 Sep 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal
Yuval Alaluf
Yuval Atzmon
Or Patashnik
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
168
1,898
0
02 Aug 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
228
2,034
0
01 Jun 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLMVLM
418
3,610
0
29 Apr 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
425
6,921
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
537
6,301
0
05 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
856
9,714
0
28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
511
15,788
0
20 Dec 2021
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
223
492
0
29 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image
  Manipulation
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim
Taesung Kwon
Jong Chul Ye
DiffM
205
656
0
06 Oct 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALMUQCV
254
3,789
0
03 Sep 2021
Pixel Difference Networks for Efficient Edge Detection
Pixel Difference Networks for Efficient Edge Detection
Z. Su
Wenzhe Liu
Zitong Yu
D. Hu
Qing Liao
Qi Tian
M. Pietikäinen
Li Liu
97
327
0
16 Aug 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
194
948
0
07 Jul 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
308
7,971
0
11 May 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
301
426
0
10 Feb 2021
Image-to-Image Translation: Methods and Applications
Image-to-Image Translation: Methods and Applications
Yingxue Pang
Jianxin Lin
Tao Qin
Zhibo Chen
VLM
102
265
0
21 Jan 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAMLRALM
390
1,392
0
17 Jan 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
385
6,592
0
26 Nov 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,962
0
12 Jul 2019
Conditional Image-to-Image Translation
Conditional Image-to-Image Translation
Jianxin Lin
Yingce Xia
Tao Qin
Zhibo Chen
Tie-Yan Liu
118
136
0
01 May 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
162
3,558
0
24 Nov 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
171
2,737
0
02 Mar 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
312
7,035
0
12 Mar 2015
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