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Tiny models from tiny data: Textual and null-text inversion for few-shot distillation

5 June 2024

Papers citing "Tiny models from tiny data: Textual and null-text inversion for few-shot distillation"

50 / 77 papers shown

Title
Addressing degeneracies in latent interpolation for diffusion models Erik Landolsi Fredrik Kahl DiffM 106 0 0 12 May 2025
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data Leonhard Hennicke C. Adriano Holger Giese Jan Mathias Koehler Lukas Schott DiffM 108 2 0 06 May 2024
Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery Kyle Doherty Max Gurinas Erik Samsoe Charles Casper Beau Larkin Philip W. Ramsey Brandon Trabucco Ruslan Salakhutdinov 23 4 0 02 May 2024
DiffusionSat: A Generative Foundation Model for Satellite Imagery Samar Khanna Patrick Liu Linqi Zhou Chenlin Meng Robin Rombach Marshall Burke David B. Lobell Stefano Ermon 80 65 0 06 Dec 2023
Context-Aware Meta-Learning Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 65 12 0 17 Oct 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming-Hsuan Yang Fahad Shahbaz Khan VLM 138 126 0 25 Jul 2023
Norm-guided latent space exploration for text-to-image generation Dvir Samuel Rami Ben-Ari N. Darshan Haggai Maron Gal Chechik DiffM 87 26 0 14 Jun 2023
Key-Locked Rank One Editing for Text-to-Image Personalization Yoad Tewel Rinon Gal Gal Chechik Yuval Atzmon DiffM 225 173 0 02 May 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 214 44 0 27 Apr 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 115 316 0 17 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 395 7,421 0 05 Apr 2023
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models Rinon Gal Moab Arar Yuval Atzmon Amit H. Bermano Gal Chechik Daniel Cohen-Or DiffM 125 200 0 23 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov DiffM VLM 103 256 0 07 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 96 161 0 16 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion Nupur Kumari Bin Zhang Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 180 875 0 08 Dec 2022
Null-text Inversion for Editing Real Images using Guided Diffusion Models Ron Mokady Amir Hertz Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 117 537 0 17 Nov 2022
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale Yuxin Fang Wen Wang Binhui Xie Quan-Sen Sun Ledell Yu Wu Xinggang Wang Tiejun Huang Xinlong Wang Yue Cao VLM CLIP 200 726 0 14 Nov 2022
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 VLM MoE 177 831 0 02 Nov 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 206 3,502 0 16 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 282 2,895 0 25 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 98 17 0 22 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 168 1,898 0 02 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,978 0 26 Jul 2022
Black-box Few-shot Knowledge Distillation Dang Nguyen Sunil R. Gupta Kien Do Svetha Venkatesh 76 17 0 25 Jul 2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification Renrui Zhang Zhang Wei Rongyao Fang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 127 318 0 19 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 77 47 0 04 Jul 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 469 6,083 0 23 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 122 382 0 13 May 2022
Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen Xintao Wang Jiantao Zhou Yu Qiao Chao Dong ViT 160 638 0 09 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 104 63 0 05 May 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 92 197 0 15 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 425 6,921 0 13 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 85 168 0 09 Apr 2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations Niv Cohen Rinon Gal E. Meirom Gal Chechik Yuval Atzmon VLM MLLM 108 88 0 04 Apr 2022
Knowledge Distillation with the Reused Teacher Classifier Defang Chen Jianhan Mei Hailin Zhang C. Wang Yan Feng Chun-Yen Chen 85 170 0 26 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 520 15,788 0 20 Dec 2021
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 76 40 0 06 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation? Oindrila Saha Zezhou Cheng Subhransu Maji 78 17 0 01 Dec 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 87 187 0 22 Aug 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 112 89 0 16 Jul 2021
Scaling Vision Transformers Xiaohua Zhai Alexander Kolesnikov N. Houlsby Lucas Beyer ViT 150 1,096 0 08 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 743 6,139 0 29 Apr 2021
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort Yuxuan Zhang Huan Ling Jun Gao K. Yin Jean-Francois Lafleche Adela Barriuso Antonio Torralba Sanja Fidler 3DH GAN VLM 91 335 0 13 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression Xin Ding Z. J. Wang Zuheng Xu Z. Jane Wang William J. Welch 121 22 0 07 Apr 2021
Repurposing GANs for One-shot Semantic Part Segmentation Nontawat Tritrong Pitchaporn Rewatbowornwong Supasorn Suwajanakorn 104 109 0 07 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 121 112 0 01 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 1.0K 29,926 0 26 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 79 26 0 06 Feb 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 211 518 0 14 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 105 72 0 08 Jan 2021