4.5.1 Diffusion Process, Survey, Overview

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

• Foreword by Jan Koenderink - Utrecht University
• 
  See also Linear Scale-Space II: Early Visual Operators.
• 
  See also Anisotropic Diffusion.
• 
  See also Vector-Valued Diffusion.
• Mumford, D.[David],
  The Bayesian Rationale for Energy Functionals,
  GDDCV94(Chapter 4). Harvard University BibRef
• 
  See also Minimization of Energy Functional with Curve-Represented Edges.
• Richardson, T.J.[Thomas J.], AT&T Bell Laboratories Mitter, S.K.[Sanjoy K.], Massachusetts Institute of Technology
  Approximation, Formulation, and Distortion in the Variational Formulation,
  GDDCV94(Chapter 6). BibRef
• 
  See also Coupled Geometry-Driven Diffusion Equations for Low-Level Vision.
• 
  See also Morphological Approach to Multiscale Analysis.
• 
  See also Differential Invariant Signatures and Flows in Computer Vision: A Symmetry Group Approach.
• 
  See also On Optimal Control Methods in Computer Vision and Image Processing.
• 
  See also Nonlinear Scale-Space.
• 
  See also Differential Geometric Approach to Anisotropic Diffusion, A.
• 
  See also Numerical Analysis and Applications of Geometry-Driven Diffusion.

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

He, C.M.[Chun-Ming], Shen, Y.Q.[Yu-Qi], Fang, C.Y.[Cheng-Yu], Xiao, F.Y.[Feng-Yang], Tang, L.X.[Long-Xiang], Zhang, Y.[Yulun], Zuo, W.M.[Wang-Meng], Guo, Z.H.[Zhen-Hua], Li, X.[Xiu],
Diffusion Models in Low-Level Vision: A Survey,
PAMI(47), No. 6, June 2025, pp. 4630-4651.
IEEE DOI 2505
Diffusion models, Noise, Surveys, Training, Remote sensing, Superresolution, Reviews, Noise reduction, Optimization, video processing BibRef

Chang, Z.[Ziyi], Koulieris, G.A.[George A.], Chang, H.J.[Hyung Jin], Shum, H.P.H.[Hubert P.H.],
On the design fundamentals of diffusion models: A survey,
PR(169), 2026, pp. 111934.
Elsevier DOI 2509
Survey, Diffusion Models. Diffusion model, Forward process, Reverse process, Sampling process, Deep learning BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Anisotropic Diffusion Process .