Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data

6 May 2024

Papers citing "Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data"

4 / 4 papers shown

Title
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 53 1 0 05 Jun 2024
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? Hasan Hammoud Hani Itani Fabio Pizzati Philip H. S. Torr Adel Bibi Bernard Ghanem CLIP VLM 112 35 0 02 Feb 2024
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 298 5,761 0 29 Apr 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 273 1,077 0 17 Feb 2021