Panoptic Lifting for 3D Scene Understanding with Neural Fields

Author:

Siddiqui Yawar1,Porzi Lorenzo2,Bulò Samuel Rota2,Müller Norman1,Nießner Matthias1,Dai Angela1,Kontschieder Peter2

Affiliation:

1. Technical University of Munich

2. Meta Reality Labs Zurich

Funder

Bavarian State Ministry of Science and the Arts

Publisher

IEEE

Reference46 articles.

1. Panoster: End-to-End Panoptic Segmentation of LiDAR Point Clouds

2. Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

3. Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction

4. The replica dataset: A digital replica of indoor spaces;straub;ArXiv Preprint,2019

5. Adam: A method for stochastic optimization;kingma;ArXiv Preprint,2014

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