68 results on '"Thomas Batard"'
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2. T(G)V-NeRF: A Strong Baseline in Regularized Neural Radiance Fields with Few Training Views.
3. Nonlinear DIP-DiracVTV Model for Color Image Restoration.
4. A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values.
5. DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation.
6. Hyperparameter-Free Losses for Model-Based Monocular Reconstruction.
7. A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception.
8. Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience.
9. A Geometric Model of Brightness Perception and Its Application to Color Images Correction.
10. Local denoising based on curvature smoothing can visually outperform non-local methods on photographs with actual noise.
11. Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output.
12. Optimizing layout using spatial quality metrics and user preferences.
13. Duality Principle for Image Regularization and Perceptual Color Correction Models.
14. A Decomposition Framework for Image Denoising Algorithms.
15. Denoising an Image by Denoising Its Components in a Moving Frame.
16. A Riemannian Fourier Transform via Spin Representations.
17. Harmonic Flow for Histogram Matching.
18. A Variational Method for the Optimization of Tone Mapping Operators.
19. Generalized Gradient on Vector Bundle - Application to Image Denoising.
20. Polyakov Action on (ρ, G)-Equivariant Functions Application to Color Image Regularization.
21. Heat kernels of generalized laplacians-application to color image smoothing.
22. The Clifford-Hodge Flow: An Extension of the Beltrami Flow.
23. Blockwise Similarity in [0, 1] via Triangular Norms and Sugeno Integrals - Application to Cluster Validity.
24. A Nonlocal Variational Formulation for the Improvement of Tone Mapped Images.
25. On Covariant Derivatives and Their Applications to Image Regularization.
26. A Class of Generalized Laplacians on Vector Bundles Devoted to Multi-Channel Image Processing.
27. Spinor Fourier Transform for Image Processing.
28. Heat Equations on Vector Bundles - Application to Color Image Regularization.
29. Clifford Bundles: A Common Framework for Image, Vector Field, and Orthonormal Frame Field Regularization.
30. A Metric Approach to nD Images Edge Detection with Clifford Algebras.
31. Variational models for color image correction inspired by visual perception and neuroscience
32. A connection between image processing and artificial neural networks layers through a geometric model of visual perception
33. Hyperparameter-free losses for model-based monocular reconstruction
34. Some Properties of the Spinor Fourier Transform
35. Three Approaches to Improve Denoising Results that Do Not Involve Developing New Denoising Methods
36. A Geometric Model of Brightness Perception and its Application to Color Images Correction
37. Derivatives and Inverse of Cascaded Linear+Nonlinear Neural Models
38. A Class of Generalized Laplacians on Vector Bundles Devoted to Multi-Channel Image Processing
39. Clifford Algebra Bundles to Multidimensional Image Segmentation
40. A class of nonlocal variational problems on a vector bundle for color image local contrast reduction/enhancement
41. Local denoising based on curvature smoothing can visually outperform non-local methods on photographs with actual noise
42. Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output
43. Duality Principle for Image Regularization and Perceptual Color Correction Models
44. The Wilson-Cowan model describes Contrast Response and Subjective Distortion
45. A nonlocal variational formulation for the improvement of tone mapped images
46. A Variational Method for the Optimization of Tone Mapping Operators
47. Harmonic Flow for Histogram Matching
48. Denoising an image by denoising its components in a moving frame
49. Spinor Fourier Transform for Image Processing
50. Clifford–Fourier Transform and Spinor Representation of Images
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