v1v2 (latest)

Controlled Training Data Generation with Diffusion Models

22 March 2024

Pooya Esmaeil Akhoondi

Amir Zamir

ArXiv (abs)PDF HTML

Papers citing "Controlled Training Data Generation with Diffusion Models"

50 / 69 papers shown

Title
CONCORD: Concept-Informed Diffusion for Dataset Distillation Jianyang Gu Haonan Wang Ruoxi Jia Saeed Vahidian Vyacheslav Kungurtsev Wei Jiang Yiran Chen DiffM DD 922 0 0 23 May 2025
Personalized Representation from Personalized Generation Shobhita Sundaram Julia Chae Yonglong Tian Sara Beery Phillip Isola 79 1 0 20 Dec 2024
Decomposed evaluations of geographic disparities in text-to-image models Abhishek Sureddy Dishant Padalia Nandhinee Periyakaruppa Oindrila Saha Adina Williams Adriana Romero Soriano Megan Richards Polina Kirichenko Melissa Hall EGVM 48 1 0 17 Jun 2024
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference Simian Luo Yiqin Tan Longbo Huang Jian Li Hang Zhao DiffM 85 475 0 06 Oct 2023
Break-A-Scene: Extracting Multiple Concepts from a Single Image Omri Avrahami Kfir Aberman Ohad Fried Daniel Cohen-Or Dani Lischinski VLM DiffM 63 176 0 25 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation Lisa Dunlap Alyssa Umino Han Zhang Jiezhi Yang Joseph E. Gonzalez Trevor Darrell DiffM 65 80 0 25 May 2023
DataComp: In search of the next generation of multimodal datasets S. Gadre Gabriel Ilharco Alex Fang J. Hayase Georgios Smyrnis ... A. Dimakis J. Jitsev Y. Carmon Vaishaal Shankar Ludwig Schmidt VLM 92 447 0 27 Apr 2023
An Edit Friendly DDPM Noise Space: Inversion and Manipulations Inbar Huberman-Spiegelglas Vladimir Kulikov T. Michaeli DiffM 57 153 0 12 Apr 2023
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 348 7,365 0 05 Apr 2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning Ligong Han Yinxiao Li Han Zhang P. Milanfar Dimitris N. Metaxas Feng Yang DiffM 90 284 0 20 Mar 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 123 1,030 0 16 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 177 4,146 1 10 Feb 2023
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones Mert Bulent Sariyildiz Alahari Karteek Diane Larlus Yannis Kalantidis DiffM VLM 86 160 0 16 Dec 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions Tim Brooks Aleksander Holynski Alexei A. Efros DiffM 207 1,830 0 17 Nov 2022
Null-text Inversion for Editing Real Images using Guided Diffusion Models Ron Mokady Amir Hertz Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 100 537 0 17 Nov 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance Guillaume Couairon Jakob Verbeek Holger Schwenk Matthieu Cord DiffM 143 507 0 20 Oct 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 197 3,482 0 16 Oct 2022
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip Torr Song Bai Xiaojuan Qi 96 302 0 14 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 69 50 0 08 Oct 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 2,885 0 25 Aug 2022
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 200 1,789 0 02 Aug 2022
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 164 1,889 0 02 Aug 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra Aleksander Madry 66 90 0 29 Jun 2022
Invariant Causal Mechanisms through Distribution Matching Mathieu Chevalley Charlotte Bunne Andreas Krause Stefan Bauer OOD CML 55 42 0 23 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 440 6,062 0 23 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 547 4,398 0 28 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 352 1,418 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 463 15,665 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 364 3,627 0 20 Dec 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans Ainaz Eftekhar Alexander Sax Roman Bachmann Jitendra Malik Amir Zamir MedIm 88 300 0 11 Oct 2021
Learning to Diversify for Single Domain Generalization Zijian Wang Yadan Luo Ruihong Qiu Zi Huang Mahsa Baktash 100 258 0 26 Aug 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 147 1,504 0 02 Aug 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 80 278 0 09 Jul 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 84 54 0 18 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning Ali Jahanian Xavier Puig Yonglong Tian Phillip Isola 80 128 0 09 Jun 2021
Semantic Palette: Guiding Scene Generation with Class Proportions G. L. Moing Tuan-Hung Vu Himalaya Jain P. Pérez Matthieu Cord 49 16 0 03 Jun 2021
The iWildCam 2021 Competition Dataset Sara Beery Arush Agarwal Elijah Cole Vighnesh Birodkar 67 78 0 07 May 2021
Ensembling with Deep Generative Views Lucy Chai Jun-Yan Zhu Eli Shechtman Phillip Isola Richard Y. Zhang GAN 56 71 0 29 Apr 2021
Vision Transformers for Dense Prediction René Ranftl Alexey Bochkovskiy V. Koltun ViT MDE 138 1,746 0 24 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,731 0 26 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 189 1,445 0 14 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 667 41,369 0 22 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 289 7,454 0 06 Oct 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 60 81 0 16 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 120 548 0 01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 347 1,751 0 29 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 669 18,276 0 19 Jun 2020
Robust Learning Through Cross-Task Consistency Amir Zamir Alexander Sax Teresa Yeo Oğuzhan Fatih Kar Nikhil Cheerla Rohan Suri Zhangjie Cao Jitendra Malik Leonidas Guibas OOD 55 158 0 07 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 467 10,591 0 17 Feb 2020
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 125 1,305 0 05 Dec 2019