Search Results - "Tschumperlé, David"

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  1. 1

    Uni MS-PS: A multi-scale encoder-decoder transformer for universal photometric stereo by Hardy, Clément, Quéau, Yvain, Tschumperlé, David

    Published in Computer vision and image understanding (01-11-2024)
    “…Photometric Stereo (PS) addresses the challenge of reconstructing a three-dimensional (3D) representation of an object by estimating the 3D normals at all…”
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    Journal Article
  2. 2

    Vector-valued image regularization with PDEs: a common framework for different applications by Tschumperle, D., Deriche, R.

    “…In this paper, we focus on techniques for vector-valued image regularization, based on variational methods and PDE. Starting from the study of PDE-based…”
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    Journal Article
  3. 3

    Recent advances in diffusion MRI modeling: Angular and radial reconstruction by Assemlal, Haz-Edine, Tschumperlé, David, Brun, Luc, Siddiqi, Kaleem

    Published in Medical image analysis (01-08-2011)
    “…The analysis of the diffusion signal is closely related to the sampling of the q-space. (a) Full sampling of the q-space is currently impractical in vivo due…”
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    Journal Article
  4. 4

    Efficient and robust computation of PDF features from diffusion MR signal by Assemlal, Haz-Edine, Tschumperlé, David, Brun, Luc

    Published in Medical image analysis (01-10-2009)
    “…We present a method for the estimation of various features of the tissue micro-architecture using the diffusion magnetic resonance imaging. The considered…”
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    Journal Article
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    Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's by Tschumperle, David

    Published in International journal of computer vision (01-06-2006)
    “…Issue Title: Special Issue: Vision and Modelling of Dynamic Scenes We are interested in PDE's (Partial Differential Equations) in order to smooth multi-valued…”
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    Journal Article
  7. 7

    Exemplar-Based Inpainting: Technical Review and New Heuristics for Better Geometric Reconstructions by Buyssens, Pierre, Daisy, Maxime, Tschumperle, David, Lezoray, Olivier

    Published in IEEE transactions on image processing (01-06-2015)
    “…This paper proposes a technical review of exemplar-based inpainting approaches with a particular focus on greedy methods. Several comparative and illustrative…”
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    Journal Article
  8. 8

    A Patch-Based Approach for Artistic Style Transfer Via Constrained Multi-Scale Image Matching by Samuth, Benjamin, Tschumperle, David, Rabin, Julien

    “…Since a few years and the advent of convolutional neural networks, algorithms for artistic style transfer between images have developed considerably. However,…”
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    Conference Proceeding
  9. 9

    Depth-Guided Disocclusion Inpainting of Synthesized RGB-D Images by Buyssens, Pierre, Le Meur, Olivier, Daisy, Maxime, Tschumperle, David, Lezoray, Olivier

    Published in IEEE transactions on image processing (01-02-2017)
    “…We propose to tackle the problem of RGB-D image disocclusion inpainting when synthesizing new views of a scene by changing its viewpoint. Indeed, such a…”
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    Journal Article
  10. 10

    Modular and Lightweight Networks for Bi-Scale Style Transfer by Durand, Thibault, Rabin, Julien, Tschumperle, David

    “…With the emergence of deep perceptual image features, style transfer has become a popular application that repaints a picture while preserving the geometric…”
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    Conference Proceeding
  11. 11

    Automatic Illumination of Flat-Colored Drawings by 3D Augmentation of 2D Silhouettes by Tschumperle, David, Porquet, Christine, Mahboubi, Amal

    “…In this paper, a new automatic method for the illumination of flat-colored drawings is proposed. First, we reconstruct a 3D augmentation of a 2D silhouette…”
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    Conference Proceeding
  12. 12

    Shallow Multi-Scale Network For Stylized Super-Resolution by Durand, Thibault, Rabin, Julien, Tschumperle, David

    “…Image Super Resolution (SR) has come a long way since the early age of image processing. Deep learning methods nowadays give outstanding results, yet very few…”
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    Conference Proceeding
  13. 13

    LatentPatch: A Non-Parametric Approach for Face Generation and Editing by Samuth, Benjamin, Rabin, Julien, Tschumperle, David, Jurie, Frederic

    “…This paper presents LatentPatch, a new method for generating realistic images from a small dataset of only a few images. We use a lightweight model with only a…”
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    Conference Proceeding
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    Tensor-directed simulation of strokes for image stylization with hatching and contours by Tschumperle, David

    “…We describe a simple but capable algorithm to generate sketches from color images. The method is based on the drawing of dark strokes on a white background,…”
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    Conference Proceeding
  17. 17

    Efficient computation of PDF-based characteristics from diffusion MR signal by Assemlal, Haz-Edine, Tschumperlé, David, Brun, Luc

    “…We present a general method for the computation of PDF-based characteristics of the tissue micro-architecture in MR imaging. The approach relies on the…”
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    Journal Article
  18. 18

    Orthonormal Vector Sets Regularization with PDE's and Applications by Tschumperlé, David, Deriche, Rachid

    Published in International journal of computer vision (01-12-2002)
    “…We are interested in regularizing fields of orthonormal vector sets, using constraint-preserving anisotropic diffusion PDE's. Each point of such a field is…”
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    Journal Article
  19. 19

    MS-PS: A Multi-Scale Network for Photometric Stereo With a New Comprehensive Training Dataset by Hardy, Clément, Quéau, Yvain, Tschumperlé, David

    Published 04-10-2023
    “…The photometric stereo (PS) problem consists in reconstructing the 3D-surface of an object, thanks to a set of photographs taken under different lighting…”
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    Journal Article
  20. 20

    LATENTPATCH: A Non-Parametric Approach for Face Generation and Editing by Samuth, Benjamin, Rabin, Julien, Tschumperlé, David, Jurie, Frédéric

    Published 30-01-2024
    “…2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.1790-1794 This paper presents LatentPatch, a new method for…”
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    Journal Article