ter Haar Romeny, B.M.[Bart M.], (Ed.),
Geometry-Driven Diffusion in Computer Vision,
GDDCV94August 1994. Published by:
BibRef
9408
KluwerSeptember 1994,
ISBN 0-7923-3087-0.
WWW Link. Some listed elsewhere, some here.
BibRef
Perona, P.[Pietro], - California Institute of Technology
Shiotan, T.[Taka], - Kyoto University
Malik, J.[Jitendra], - University of California at Berkeley
Anisotropic Diffusion,
GDDCV94(Chapter 2) pp. 73-92.
BibRef
9400
Weickert, J.[Joachim],
Theoretical Foundations of Anisotropic Diffusion in Image Processing,
Computing(xx), Supplement 11, 1996, pp. 221-236.
BibRef
9600
Weickert, J.[Joachim],
Foundations and Applications of Anisotropic Diffusion Filtering,
Z. Angew. Math. Mech(76), Supplement 1, 1996, pp. 283-286.
BibRef
9600
Weickert, J.[Joachim],
A review of Nonlinear Diffusion Filtering,
ScaleSpace97(3-28).
9702
BibRef
Caselles, V.,
Morel, J.M.,
Sapiro, G.,
Tannenbaum, A.,
Introduction to the Special Issue on Partial-Differential Equations
and Geometry-Driven Diffusion in Image-Processing and Analysis,
IP(7), No. 3, March 1998, pp. 269-273.
IEEE DOI
9803
BibRef
Faugeras, O.D.[Olivier D.],
Perona, P.[Pietro],
Sapiro, G.[Guillermo],
Special Issue on Partial Differential Equations in Image Processing,
Computer Vision, and Computer Graphics,
JVCIR(13), No. 1/2, March/June 2002, pp. 1-2.
DOI Link
0204
BibRef
Nakkiran, P.[Preetum],
Bradley, A.[Arwen],
Zhou, H.[Hattie],
Advani, M.[Madhu],
Step-by-Step Diffusion: An Elementary Tutorial,
FTCGV(17), No. 1, 2025, pp. 1-75.
DOI Link
2504
Survey, Diffusion.
Tutorial, Diffusion.
BibRef
Truong, V.T.[Vu Tuan],
Dang, L.B.[Luan Ba],
Le, L.B.[Long Bao],
Attacks and Defenses for Generative Diffusion Models: A Comprehensive
Survey,
Surveys(57), No. 8, April 2025, pp. xx-yy.
DOI Link
2504
Generative models, diffusion models, backdoor attacks,
adversarial attacks, membership inference attacks
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Diffusion Process for Enhancement, Restoration and Smoothing .