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09/11/2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation
Autonomous vehicles (AV) require that neural networks used for perceptio...
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08/10/2023
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
This work considers gradient-based mesh optimization, where we iterative...
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05/02/2023
Neural LiDAR Fields for Novel View Synthesis
We present Neural Fields for LiDAR (NFL), a method to optimise a neural ...
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04/06/2023
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes
Reconstruction and intrinsic decomposition of scenes from captured image...
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10/12/2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Denoising diffusion models (DDMs) have shown promising results in 3D poi...
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09/22/2022
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
As several industries are moving towards modeling massive 3D virtual wor...
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07/25/2022
Dynamic 3D Scene Analysis by Point Cloud Accumulation
Multi-beam LiDAR sensors, as used on autonomous vehicles and mobile robo...
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11/26/2021
Neural Fields as Learnable Kernels for 3D Reconstruction
We present Neural Kernel Fields: a novel method for reconstructing impli...
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02/17/2021
Weakly Supervised Learning of Rigid 3D Scene Flow
We propose a data-driven scene flow estimation algorithm exploiting the ...
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11/25/2020
PREDATOR: Registration of 3D Point Clouds with Low Overlap
We introduce PREDATOR, a model for pairwise point-cloud registration wit...
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08/06/2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
We propose CaSPR, a method to learn object-centric canonical spatiotempo...
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01/15/2020
Learning multiview 3D point cloud registration
We present a novel, end-to-end learnable, multiview 3D point cloud regis...
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11/16/2018