sp9103's Stars
THU-luvision/OmniSeg3D
Segment Everything All at Once
chungmin99/garfield
[CVPR'24] Group Anything with Radiance Fields
jonbarron/camp_zipnerf
lfranke/TRIPS
subhadarship/kmeans_pytorch
kmeans using PyTorch
antimatter15/splat
WebGL 3D Gaussian Splat Viewer
NVlabs/FoundationPose
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
lkeab/gaussian-grouping
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
bennyguo/instant-nsr-pl
Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
Jumpat/SegAnyGAussians
The official implementation of SAGA (Segment Any 3D GAussians)
apple/ml-ferret
yformer/EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
TontonTremblay/heatmap_error_pose
heatmap error pose figure from the diff-dope paper
xxlong0/Wonder3D
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
kwea123/nerf_pl
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
nv-nguyen/gigapose
[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
ChaoningZhang/MobileSAM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Jumpat/SegmentAnythingin3D
Segment Anything in 3D with NeRFs (NeurIPS 2023)
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
NVlabs/nvdiffrast
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
countywest/progressive_growing_of_points
Progressive Growing of Points with Tree-structured Generators (BMVC 2021)
naver/croco
hugoycj/Instant-angelo
Instant-angelo: Build high-fidelity Digital Twin within 20 Minutes!
mlzxy/devit
facebookresearch/co-tracker
CoTracker is a model for tracking any point (pixel) on a video.
vislearn/DSACLine
Differentiable RANSAC: Learning Robust Line Fitting
sair-lab/iSLAM
iSLAM: Imperative SLAM (RA-L 2024) is a novel Visual-Inertial SLAM using Self-supervised Learning
pypose/pypose
A library for differentiable robotics.
aharley/pips
Particle Video Revisited
princeton-vl/RAFT