[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

3D mesh stylization driven by a text input in PyTorch

[ECCV'20] Convolutional Occupancy Networks

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

[SIGGRAPH2023] NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

Real-time Neural Signed Distance Fields for Robot Perception

[CVPR'23] Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM

[CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM

[CVPR'23] Learning Neural Parametric Head Models

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields

[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

[CVPR'24] 3D Neural Edge Reconstruction

[3DV'24 Best Paper Honorable Mention] NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM

Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields

[CVPR'24] MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video

[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild

Neural Graph Mapping for Dense SLAM with Efficient Loop Closure