bmlklwx
Follow
Lists (1)
Stars
PlayStation 4 emulator for Windows, Linux and macOS written in C++
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Book, articles and interesting things related to robotics
A curated list of resources about Machine Learning for Robotics
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
An open-source impl. of Large Reconstruction Models
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
[T-RO] MATLAB implementation of PRobabilistically-Informed Motion Primitives (PRIMP), a learning-from-demonstration method on Lie group.
[T-RO] Python implementation of PRobabilistically-Informed Motion Primitives (PRIMP)
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
A curated list on piecewise-planar reconstruction
Finding Good Configurations of Planar Primitives, CVPR2022. Code from https://team.inria.fr/titane/software/
Clustering routines for the unit sphere
some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!
Convert Wavefront OBJ with Vertex Color to glTF2.0.
3D Low Poly Generator / Mesh Decimation Tool
深度学习入门教程, 优秀文章, Deep Learning Tutorial
iDisc: Internal Discretization for Monocular Depth Estimation [CVPR 2023]
[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
This is the official repo for the implementation of NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images.
Python Wrapper for MeshFix: easily repair holes in surface meshes
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Active Multi-class Mapping using Semantic Shannon Mutual Information (SSMI)
A collaboration friendly studio for NeRFs
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)