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Readout Guidance: Learning Control from Diffusion Features
4 December 2023
Grace Luo
Trevor Darrell
Oliver Wang
Dan B. Goldman
Aleksander Holynski
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Papers citing
"Readout Guidance: Learning Control from Diffusion Features"
33 / 33 papers shown
Title
Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation
Sangmin Jung
Utkarsh Nath
Yezhou Yang
Giulia Pedrielli
Joydeep Biswas
Amy Zhang
Hassan Ghasemzadeh
Pavan Turaga
DiffM
115
0
0
18 May 2025
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers
Kwon Byung-Ki
Qi Dai
Lee Hyoseok
Chong Luo
Tae-Hyun Oh
138
0
0
01 May 2025
Parametric Shadow Control for Portrait Generation in Text-to-Image Diffusion Models
Haoming Cai
Tsung-Wei Huang
Shiv Gehlot
Brandon Yushan Feng
Sachin Shah
Guan-Ming Su
Christopher A. Metzler
DiffM
91
0
0
27 Mar 2025
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
Minghao Fu
Guo-Hua Wang
Liangfu Cao
Qing-Guo Chen
Zhao Xu
Weihua Luo
Kaifu Zhang
DiffM
56
0
0
18 Feb 2025
A Simple Approach to Unifying Diffusion-based Conditional Generation
Xirui Li
Charles Herrmann
Kelvin C.K. Chan
Yinxiao Li
Deqing Sun
Chao Ma
Ming-Hsuan Yang
DiffM
VLM
103
1
0
15 Oct 2024
GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design
Phillip Mueller
Sebastian Mueller
Lars Mikelsons
77
2
0
25 Sep 2024
WonderWorld: Interactive 3D Scene Generation from a Single Image
Hong-Xing Yu
Haoyi Duan
Charles Herrmann
William T. Freeman
Jiajun Wu
3DGS
VGen
161
46
0
13 Jun 2024
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Wei Wu
Yuzhong Zhao
Hao Chen
Yuchao Gu
Rui Zhao
Yefei He
Hong Zhou
Mike Zheng Shou
Chunhua Shen
83
105
0
11 Aug 2023
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou
Xintao Wang
Jie Song
Ying Shan
Jian Zhang
DiffM
97
155
0
05 Jul 2023
Emergent Correspondence from Image Diffusion
Luming Tang
Menglin Jia
Qianqian Wang
Cheng Perng Phoo
Bharath Hariharan
99
267
0
06 Jun 2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Wenhu Chen
Hexiang Hu
Yandong Li
Nataniel Rui
Xuhui Jia
Ming-Wei Chang
William W. Cohen
DiffM
99
193
0
01 Apr 2023
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Levon Khachatryan
A. Movsisyan
Vahram Tadevosyan
Roberto Henschel
Zhangyang Wang
Shant Navasardyan
Humphrey Shi
VGen
81
574
0
23 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao
Yongming Rao
Zuyan Liu
Benlin Liu
Jie Zhou
Jiwen Lu
ObjD
VLM
MDE
242
233
0
03 Mar 2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Lianghua Huang
Di Chen
Yu Liu
Yujun Shen
Deli Zhao
Jingren Zhou
DiffM
66
289
0
20 Feb 2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Chong Mou
Xintao Wang
Liangbin Xie
Yanze Wu
Shuai Liu
Zhongang Qi
Ying Shan
Xiaohu Qie
DiffM
135
1,030
0
16 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
182
4,175
1
10 Feb 2023
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu
Yixiao Ge
Xintao Wang
Weixian Lei
Yuchao Gu
Yufei Shi
Wynne Hsu
Ying Shan
Xiaohu Qie
Mike Zheng Shou
VGen
123
743
0
22 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim
Wooseok Jang
Gyuseong Lee
Susung Hong
Junyoung Seo
Seung Wook Kim
VLM
DiffM
56
12
0
17 Dec 2022
Shape-Guided Diffusion with Inside-Outside Attention
Dong Huk Park
Grace Luo
C. Toste
S. Azadi
Xihui Liu
M. Karalashvili
Anna Rohrbach
Trevor Darrell
DiffM
89
44
0
01 Dec 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks
Aleksander Holynski
Alexei A. Efros
DiffM
213
1,830
0
17 Nov 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz
Yuanzhen Li
Varun Jampani
Yael Pritch
Michael Rubinstein
Kfir Aberman
279
2,891
0
25 Aug 2022
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
196
3,963
0
26 Jul 2022
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
496
15,768
0
20 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
281
538
0
06 Dec 2021
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
149
1,506
0
02 Aug 2021
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
493
10,526
0
17 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
271
7,958
0
11 May 2021
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
138
1,746
0
24 Mar 2021
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
295
7,492
0
06 Oct 2020
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
210
1,803
0
02 Jul 2019
The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset
Federico Perazzi
Sergi Caelles
Pablo Arbeláez
A. Sorkine-Hornung
Luc Van Gool
VGen
VOS
87
1,218
0
03 Apr 2017
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
147
3,496
0
24 Apr 2015
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014
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