← Search

Nicolas Sereyjol-Garros

2 accepted papers

2026

R3DPA: Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation

ICRA 2026poster

LiDAR scene synthesis is an emerging solution to scarcity in 3D data for robotic tasks such as autonomous driving. Recent approaches employ diffusion or flow matching models to generate realistic scenes, but 3D data remains limited compared to RGB datasets with millions of samples. We introduce R3DP…

2024

DeBaRA: Denoising-Based 3D Room Arrangement Generation

NeurIPS 2024poster

Generating realistic and diverse layouts of furnished indoor 3D scenes unlocks multiple interactive applications impacting a wide range of industries. The inherent complexity of object interactions, the limited amount of available data and the requirement to fulfill spatial constraints all make gene…

Cited by 2SourcePDFScholar