CuiLily

CuiLily's Stars

• Traffic-X/MonoLSS

  Official implementation of the 3DV 2024 paper MonoLSS: Learnable Sample Selection For Monocular 3D Detection

  Language:Python283

• yanglei18/Lite-FPN

  This is the official implementation of our manuscript "Lite-FPN for Keypoint-based Monocular 3D Object Detection"

  Language:Python285

• cvlab-epfl/MeshSDF

  Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight

  Language:Python22125

• tatsy/torchmcubes

  Marching cubes implementation for PyTorch environment.

  Language:Cuda20039

• princeton-vl/lietorch

  Language:Cuda67950

• gabyx/ApproxMVBB

  Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

  Language:C++44393

• lmb-freiburg/unsup-car-dataset

  Unsupervised Generation of a Viewpoint Annotated Car Dataset from Videos

  Language:MATLAB19

• lity20/DCCDIF

  Language:Python543

• TRAILab/UncertainShapePose

  The official GitHub repository for the ICRA'24 paper Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors.

  211

• bayesiains/nflows

  Normalizing flows in PyTorch

  Language:Python835119

• probabilists/zuko

  Normalizing flows in PyTorch

  Language:Python30923

• klightz/PSF

  Official Implementation for Fast Point Cloud Generation with Straight Flows

  Language:Python359

• JingwenWang95/DSP-SLAM

  [3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

  Language:C++52295

• schrodingercatss/tuning_playbook_zh_cn

  一本系统地教你将深度学习模型的性能最大化的战术手册。

  2.4k217

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.6k2.2k

• threestudio-project/threestudio

  A unified framework for 3D content generation.

  Language:Python6.2k474

• marian42/mesh_to_sdf

  Calculate signed distance fields for arbitrary meshes

  Language:Python1k107

• naver/roma

  RoMa: A lightweight library to deal with 3D rotations in PyTorch.

  Language:Python50519

• zju3dv/NeuralRecon-W

  Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)

  Language:Python69232

• wentaoyuan/pcn

  Code for PCN: Point Completion Network in 3DV'18 (Oral)

  Language:Python41787

• jianglongye/implicit-tracking

  Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild, RA-L 2022 & IROS 2022

  Language:Python311

• charlesq34/pointnet

  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

  Language:Python4.8k1.4k

• LilydotEE/Point_cloud_quality_enhancement

  261

• ANLGBOY/SoftFlow

  PyTorch implementation of SoftFlow

  Language:Python5911

• Regenerator/dpf-nets

  Flow-based generative model for 3D point clouds.

  Language:Python437

• nv-tlabs/GET3D

  Language:Python4.2k376

• zekunhao1995/PointFlowRenderer

  Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"

  Language:Python31542

• stevenygd/PointFlow

  PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

  Language:Python726100

• janosh/awesome-normalizing-flows

  Awesome resources on normalizing flows.

  Language:Python1.4k123

• VincentStimper/normalizing-flows

  PyTorch implementation of normalizing flow models

  Language:Python692105