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Texture Interpolation for Probing Visual Perception

Texture Interpolation for Probing Visual Perception

5 June 2020
Jonathan Vacher
Aida Davila
A. Kohn
Ruben Coen-Cagli
    OOD
    3DV
ArXivPDFHTML

Papers citing "Texture Interpolation for Probing Visual Perception"

15 / 15 papers shown
Title
SGSST: Scaling Gaussian Splatting StyleTransfer
SGSST: Scaling Gaussian Splatting StyleTransfer
B. Galerne
Jianling Wang
Lara Raad
Jean-Michel Morel
3DGS
129
1
0
04 Dec 2024
Texture Mixer: A Network for Controllable Synthesis and Interpolation of
  Texture
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
Ning Yu
Connelly Barnes
Eli Shechtman
Sohrab Amirghodsi
M. Lukác
47
50
0
11 Jan 2019
Texture Mixing by Interpolating Deep Statistics via Gaussian Models
Texture Mixing by Interpolating Deep Statistics via Gaussian Models
Zhucun Xue
Gui-Song Xia
Ziming Wang
3DGS
44
6
0
29 Jul 2018
Integrating Flexible Normalization into Mid-Level Representations of
  Deep Convolutional Neural Networks
Integrating Flexible Normalization into Mid-Level Representations of Deep Convolutional Neural Networks
L. S. Giraldo
O. Schwartz
20
17
0
05 Jun 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
140
2,133
0
01 Mar 2018
A survey of exemplar-based texture synthesis
A survey of exemplar-based texture synthesis
Lara Raad
Axel Davy
A. Desolneux
Jean-Michel Morel
3DV
110
35
0
22 Jul 2017
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
Wenqi Xian
Patsorn Sangkloy
Varun Agrawal
Amit Raj
Jingwan Lu
Chen Fang
Feng Yu
James Hays
GAN
3DV
38
279
0
09 Jun 2017
Towards Metamerism via Foveated Style Transfer
Towards Metamerism via Foveated Style Transfer
Arturo Deza
Aditya Jonnalagadda
Miguel P. Eckstein
29
33
0
29 May 2017
Learning Texture Manifolds with the Periodic Spatial GAN
Learning Texture Manifolds with the Periodic Spatial GAN
Urs M. Bergmann
Nikolay Jetchev
Roland Vollgraf
GAN
53
161
0
18 May 2017
Bayesian Modeling of Motion Perception using Dynamical Stochastic
  Textures
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
Jonathan Vacher
A. Meso
Laurent Udo Perrinet
Gabriel Peyré
33
12
0
02 Nov 2016
A Powerful Generative Model Using Random Weights for the Deep Image
  Representation
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He
Yan Wang
John E. Hopcroft
97
78
0
15 Jun 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
51
946
0
10 Mar 2016
Geodesics of learned representations
Geodesics of learned representations
Olivier J. Hénaff
Eero P. Simoncelli
20
53
0
19 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
963
99,991
0
04 Sep 2014
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
83
2,632
0
14 Nov 2013
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