xjtbinghan's Stars
brown-ivl/ConDor
[CVPR 2022] Official code release of ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
gist-ailab/uop-net
[RA-L + IROS2024] Learning to place unseen objects stably using large-scale simulation
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
dragonlong/equi-pose
[NeurIPS 2021], self-supervised 6D pose on category level
nintendops/EPN_PointCloud
PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
FlyingGiraffe/vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
canonical-capsules/canonical-capsules
Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)
GodZarathustra/SymmetryNet
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images
google-deepmind/3d-shapes
This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
meta-llama/llama3
The official Meta Llama 3 GitHub site
facebookresearch/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.
daveredrum/Text2Tex
[ICCV 2023] Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Stability-AI/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
TEXTurePaper/TEXTurePaper
Official Implementation for "TEXTure: Text-Guided Texturing of 3D Shapes"
fylwen/DISP-6D
This is the original implementation of the paper DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
ZrrSkywalker/I2P-MAE
[CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
baaivision/Uni3D
[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI
Pang-Yatian/Point-MAE
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
ZrrSkywalker/Point-M2AE
[NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
qq456cvb/Point-Transformers
Point Transformers
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
lucidrains/point-transformer-pytorch
Implementation of the Point Transformer layer, in Pytorch
yewzijian/RegTR
End-to-end Point Cloud Correspondences with Transformers
ChaoningZhang/MobileSAM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
chongzhou96/EdgeSAM
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
lmb-freiburg/orion
ORION: Orientation-boosted Voxel Nets for 3D Object Recognition
DC1991/FS_Net
the code for CVPR2021 work: FS-Net
brickmack/Blender-Spaceflight-models
Blender spaceflight models
NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more