Image retrieval outperforms diffusion models on data augmentation

Image retrieval outperforms diffusion models on data augmentation

20 April 2023

Dominik Zietlow

Francesco Locatello

Papers citing "Image retrieval outperforms diffusion models on data augmentation"

7 / 7 papers shown

Title
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better Scott Geng Cheng-Yu Hsieh Vivek Ramanujan Matthew Wallingford Chun-Liang Li Pang Wei Koh Ranjay Krishna DiffM 60 6 0 03 Jan 2025
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data Sreyan Ghosh Sonal Kumar Zhifeng Kong Rafael Valle Bryan Catanzaro Dinesh Manocha DiffM 39 2 0 02 Oct 2024
Boomerang: Local sampling on image manifolds using diffusion models Lorenzo Luzi P. Mayer Josue Casco-Rodriguez Ali Siahkoohi Richard G. Baraniuk DiffM 24 20 0 21 Oct 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 213 1,353 0 24 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,586 0 10 Nov 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 966 0 13 Dec 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014