MeshSDF: Differentiable Iso-Surface Extraction. - Edoardo Remelli; Artem Lukoianov; Stephan R. Richter; Benoît Guillard; Timur M. Bagautdinov; Pierre Baqué; Pascal Fua (NeurIPS, 2020)

DeepMesh: Differentiable Iso-Surface Extraction. - Benoît Guillard; Edoardo Remelli; Artem Lukoianov; Stephan R. Richter; Timur M. Bagautdinov; Pierre Baqué; Pascal Fua (CoRR, 2021)

HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation. - Subeesh Vasu; Nicolas Talabot; Artem Lukoianov; Pierre Baqué; Jonathan Donier; Pascal Fua (CoRR, 2021)

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation. - Subeesh Vasu; Nicolas Talabot; Artem Lukoianov; Pierre Baqué; Jonathan Donier; Pascal Fua (3DV, 2022)

Towards Efficient Local 3D Conditioning. - Dingxi Zhang; Artem Lukoianov (SIGGRAPH ASIA Posters, 2023)

Score Distillation via Reparametrized DDIM. - Artem Lukoianov; Haitz Sáez de Ocáriz Borde; Kristjan H. Greenewald; Vitor Guizilini; Timur M. Bagautdinov; Vincent Sitzmann; Justin M. Solomon (NeurIPS, 2024)

Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning. - Haitz Sáez de Ocáriz Borde; Artem Lukoianov; Anastasis Kratsios; Michael M. Bronstein; Xiaowen Dong 001 (CoRR, 2024)

DeepMesh: Differentiable Iso-Surface Extraction. - Benoît Guillard; Edoardo Remelli; Artem Lukoianov; Pierre Yvernay; Stephan R. Richter; Timur M. Bagautdinov; Pierre Baqué; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2024)