Pitfalls of the Gram Loss for Neural Texture Synthesis in Light of Deep Feature Histograms. - Eric Heitz; Kenneth Vanhoey; Thomas Chambon; Laurent Belcour (CoRR, 2020)

A Sliced Wasserstein Loss for Neural Texture Synthesis. - Eric Heitz; Kenneth Vanhoey; Thomas Chambon; Laurent Belcour (CVPR, 2021)

Passing Multi-Channel Material Textures to a 3-Channel Loss. - Thomas Chambon; Eric Heitz; Laurent Belcour (SIGGRAPH Talks, 2021)

The Effect of Visual Information Complexity on Urban Mobility Intention and Behavior. - Thomas Chambon; Ulysse Soulat; Jeanne Lallement; Jean-Loup Guillaume (RCIS, 2023)

Iterative α -(de)Blending: a Minimalist Deterministic Diffusion Model. - Eric Heitz; Laurent Belcour; Thomas Chambon (SIGGRAPH (Conference Paper Track), 2023)

Effets de la complexité de l'information sur les intentions et les comportements de mobilité urbaine : Construction d'un outil d'aide au changement de comportement. (Effects of information complexity on urban mobility intentions and behaviors : Construction of a tool to help change behavior). - Thomas Chambon (2023)

Information Complexity Ranking: A New Method of Ranking Images by Algorithmic Complexity. - Thomas Chambon; Jean-Loup Guillaume; Jeanne Lallement (Entropy, 2023)

Exploring AI-Based Satellite Pose Estimation: from Novel Synthetic Dataset to In-Depth Performance Evaluation. - Fabien Gallet; Christophe Marabotto; Thomas Chambon (CVPR Workshops, 2024)

L'effet de la complexité visuelle de l'information sur l'intention et le comportement de mobilité urbaine. - Thomas Chambon; Ulysse Soulat; Jeanne Lallement; Jean-Loup Guillaume (INFORSID, 2024)