Neural Graph Mapping for Dense SLAM with Efficient Loop Closure
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Updated
Jun 4, 2024 - Python
Neural Graph Mapping for Dense SLAM with Efficient Loop Closure
[CVPR'23] Learning Neural Parametric Head Models
Learning neural fields that produce Gaussian-smoothed versions of the original signal. (SIGGRAPH 2024)
[CVPR'24] 3D Neural Edge Reconstruction
[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
3D mesh stylization driven by a text input in PyTorch
Github Page for the 3D Deep Learning Reading Group
Official Code for "Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields"
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
[SIGGRAPH2023] NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images
[CVPR'24] MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
[3DV'24 Best Paper Honorable Mention] NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
Neural SLAM Evaluation Benchmark. [CVPR'23] Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
[CVPR'23] Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
Localizing Regions on 3D Shapes via Text Descriptions
Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
Local text-driven editing of 3D shapes with Cascaded Score Distillation
Official source code for "Latent Field Discovery in Interacting Dynamical Systems with Neural Fields". In NeurIPS 2023.
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