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07/14/2023
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis
We address the problem of generating realistic 3D motions of humans inte...
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04/27/2023
Learning a Diffusion Prior for NeRFs
Neural Radiance Fields (NeRFs) have emerged as a powerful neural 3D repr...
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03/16/2023
NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes
With the introduction of Neural Radiance Fields (NeRFs), novel view synt...
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03/06/2023
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision
We address efficient and structure-aware 3D scene representation from im...
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09/08/2022
im2nerf: Image to Neural Radiance Field in the Wild
We propose im2nerf, a learning framework that predicts a continuous neur...
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05/09/2022
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
We present Panoptic Neural Fields (PNF), an object-aware neural scene re...
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10/21/2021
Learning 3D Semantic Segmentation with only 2D Image Supervision
With the recent growth of urban mapping and autonomous driving efforts, ...
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07/26/2020
Virtual Multi-view Fusion for 3D Semantic Segmentation
Semantic segmentation of 3D meshes is an important problem for 3D scene ...
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07/24/2020
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
Detecting objects in 3D LiDAR data is a core technology for autonomous d...
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07/20/2020
Pillar-based Object Detection for Autonomous Driving
We present a simple and flexible object detection framework optimized fo...
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04/02/2020
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
We propose DOPS, a fast single-stage 3D object detection method for LIDA...
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03/18/2020
