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Diffusion Models as Artists: Are we Closing the Gap between Humans and
  Machines?

Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?

27 January 2023
Victor Boutin
Thomas Fel
Lakshya Singhal
Rishav Mukherji
Akash Nagaraj
Julien Colin
Thomas Serre
    DiffM
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Papers citing "Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?"

5 / 5 papers shown
Title
Latent Representation Matters: Human-like Sketches in One-shot Drawing
  Tasks
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
21
0
0
10 Jun 2024
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
171
49
0
30 May 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based
  Sensitivity Analysis
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Thomas Fel
Rémi Cadène
Mathieu Chalvidal
Matthieu Cord
David Vigouroux
Thomas Serre
MLAU
FAtt
AAML
112
57
0
07 Nov 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,764
0
24 Feb 2021
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
124
7,319
0
05 Jun 2015
1