daeyun / mesh-to-depthLinks
Depth map generator for Python written in C++
☆39Updated 4 years ago
Alternatives and similar repositories for mesh-to-depth
Users that are interested in mesh-to-depth are comparing it to the libraries listed below
Sorting:
- [SIGGRAPH Asia 2022] Differentiable Point-Based Radiance Fields for Efficient View Synthesis☆130Updated 3 years ago
- The code for "NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering (CVPR 2023)"☆161Updated 2 years ago
- HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)☆225Updated 3 years ago
- NeuS adapted to use multires hash encoding☆60Updated 3 years ago
- 🕷️ SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency☆92Updated last month
- [CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function☆139Updated last year
- This is the official repo for the implementation of NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Ima…☆162Updated 2 years ago
- Official implementation of "Bilateral Normal Integration" (BiNI), ECCV 2022.☆233Updated 2 years ago
- ☆95Updated 2 years ago
- [CVPR 2023 Highlight] Frequency-Modulated Point Cloud Rendering with Easy Editing.☆53Updated last year
- Neural Unsigned Distance Fields (NDF) - Codebase☆201Updated 3 years ago
- NPBG++: Accelerating Neural Point-Based Graphics☆86Updated 2 years ago
- The Pytorch implementation of "DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes"☆185Updated 3 years ago
- Reconstructing Hand-Held Objects from Monocular Video, Siggraph Asia 2022 Conference Track☆100Updated 2 years ago
- Code for "Deforming Radiance Fields with Cages", ECCV 2022.☆151Updated 3 years ago
- ☆67Updated 3 years ago
- Python tool for obtaining watertight meshes using TSDF fusion.☆235Updated last year
- Code release for NeRFReN: Neural Radiance Fields with Reflections (CVPR 2022).☆139Updated 3 years ago
- ☆69Updated 3 years ago
- ☆58Updated last year
- Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”☆129Updated 3 years ago
- Learning Signed Distance Field for Multi-view Surface Reconstruction☆141Updated last year
- [CVPR 2023] I^2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs☆188Updated 2 years ago
- Dynamic Point Fields: Towards Efficient and Scalable Dynamic Surface Representations (ICCV 2023)☆89Updated last year
- implicit displacement field☆127Updated 3 years ago
- Fast and Differentiable Meshing of Unsigned Distance Field Networks☆147Updated 5 months ago
- ☆137Updated 2 years ago
- Official code of VolRecon (CVPR 2023)☆156Updated last year
- configurations of my computer and my brain☆61Updated last year
- Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction (NeurIPS 2022)☆306Updated 2 years ago