297 skills found · Page 1 of 10
Yochengliu / Awesome Point Cloud AnalysisA list of papers and datasets about point cloud analysis (processing)
HuangCongQing / Pcl Learning🔥PCL（Point Cloud Library）点云库学习记录
graphdeco-inria / Hierarchical 3d GaussiansOfficial implementation of the SIGGRAPH 2024 paper "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets"
lizhihao6 / Sparc3DOfficial repo for paper "Sparse Representation and Construction for High-Resolution 3D Shapes Modeling".
DreamTechAI / Direct3D S2[NeurIPS 2025] Direct3D‑S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
ethz-asl / SegmapA map representation based on 3D segments
yinyunie / 3D Shape Analysis Paper ListA list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
FORTH-ModelBasedTracker / MocapNETWe present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
VAST-AI-Research / TriplaneGaussianTriplaneGaussian: A new hybrid representation for single-view 3D reconstruction.
googlevr / SeuratSeurat is a scene simplification technology designed to process very complex 3D scenes into a representation that renders efficiently on mobile 6DoF VR systems.
vvincenttttt / Awesome 3D Object DetectionPapers, code and datasets about deep learning for 3D Object Detection.
baaivision / Uni3D[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI
junyanz / VON[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
maincold2 / Compact 3DGSThe official repository of Compact 3D Gaussian Representation for Radiance Field
amir32002 / 3D Street ViewThe repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16
NeuralCarver / Michelangelo[NeurIPS 2023] Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
InternRobotics / ARTDECO[ICLR 2026]ARTDECO: Towards Efficient and High-Fidelity On-the-Fly 3D Reconstruction with Structured Scene Representation
if-ai / ComfyUI IF TrellisComfyUI TRELLIS is a large 3D asset generation in various formats, such as Radiance Fields, 3D Gaussians, and meshes. The cornerstone of TRELLIS is a unified Structured LATent (SLAT) representation that allows decoding to different output formats and Rectified Flow Transformers tailored for SLAT as the powerful backbones.
vsitzmann / Scene Representation NetworksOfficial Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
GaussianCube / GaussianCube[NeurIPS 2024] GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
