Deep Computational Imaging (DeepCim) is a Four-year (Sept. 2020- Aug. 2024) project that develops optimization and deep learning based solutions in computational imaging, building in part upon the achievements of the ERC-CLIM.

 
Journal Publications
 

J. Shi, Y. Xu, C. Guillemot, Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression, IEEE Trans. on Image Processing, submitted, July 2023.

B. Le Bon, M. Le Pendu, C. Guillemot, Joint Fourier Disparity Layers unrolling with learned view synthesis for light field reconstruction from few-shots focal stacks, IEEE Access, July 2023, 11, ⟨ 10.1109/access.2023.3329328 ⟩.

J. Shi, C. Guillemot, Distilled Low Rank Neural Radiance Field with Quantization for Light Field Compression, arxiv, Sept. 2022. [preprint]

M. Le Pendu, C. Guillemot, Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Inverse Problems, SIAM Journal on Imaging Science, accepted, Nov. 2022. [preprint]

R. Fermanian, M. Le Pendu, C. Guillemot, Learned Gradient of a Regularizer for Plug-and-Play Gradient Descent, Siam Journal on Imaging Science, accepted, Nov. 2022. [preprint]

H. Amirpour, C. Guillemot, M. Ghanbari, and C. Timmerer, Advanced Scalability for Light Field Image Coding, IEEE Trans. on Image Processing (TIP), accepted, Nov. 2022. [preprint]

X. Jiang, J. Shi, C. Guillemot, Untrained Neural Network Prior for Compact Light Field Representation and Compression, IEEE Trans. on Image Processing (TIP), accepted, Oct. 2022. [preprint]

G. Le Guludec, C. Guillemot, Deep Unrolling for Light Field Compressed Acquisition using Coded Masks, IEEE Access, accepted, Apr. 2022. [More] [preprint]

G. Le Guludec, E. Miandji, C. Guillemot, Deep Light Field Acquisition Using Learned Coded Mask Distributions for Color Filter Array Sensors, IEEE Trans. on computational imaging (TCI), vol. 7, pp. 475-488, 2021, May 2021. [preprint, More]

G. Gravier, E. Fromont, N. Courty, T. Furon, C. Guillemot, P. Robuffo Giordano, Rennes - une IA souveraine au service de la vie publique, Bulletin de l'Association Francaise pour l'Intelligence Artificielle, AFIA, 2021.

 
Conference Publications
 

R. Fermanian, T. Maugey, C. Guillemot, SphereDRUNet: A Spherical Denoiser for Omnidirectional Images, accepted, IEEE ISMAR, 2023. [preprint]

B. Le Bon, M. Le Pendu, C. Guillemot, Stochastic Unrolled Proximal Point Algorithm for linear image inverse problems, EUSIPCO, 2023. [preprint]

G. Le Guludec, C. Guillemot, Joint Neural Representation for Multiple Light Fields, ICASSP, 2023. [preprint]

B. Le Bon, M. Le Pendu, C. Guillemot, Unrolled Fourier Disparity Layer optimization for scene reconstruction from few-shots focal stacks, ICASSP, 2023. [preprint]

J. Shi, C. Guillemot, Light Field Compression via Compact Neural Scene Representation, ICASSP, 2023. [preprint]

H. Amirpour, C. Guillemot, C. Timmerer, FuRA: Fully Random Access Light Field Coding, European Workshop on Visual Information Processing (EUVIP), Lisboa, Sept. 2022. [preprint]

R. Fermanian, M. Le Pendu, C. Guillemot, Regularizing the Deep Image Prior with a Learned Denoiser for Linear Inverse Problems, IEEE MultiMedia Signal Processing (MMSP) workshop, 6-8 Oct. 2021. [More] [preprint]