3d IwganA repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
Stars: ✭ 166 (+121.33%)
Mutual labels: reconstruction
realtime-2D-to-3D-facesReconstructing real-time 3D faces from 2D images using deep learning.
Stars: ✭ 92 (+22.67%)
Mutual labels: reconstruction
fkMigration.jlA Julia project demonstrating the fast f-k migration algorithm.
Stars: ✭ 64 (-14.67%)
Mutual labels: reconstruction
Kimera Vio RosROS wrapper for Kimera-VIO
Stars: ✭ 182 (+142.67%)
Mutual labels: reconstruction
yeast-GEMThe consensus GEM for Saccharomyces cerevisiae
Stars: ✭ 72 (-4%)
Mutual labels: reconstruction
EGSfMThe old implementation of GraphSfM based on openMVG.
Stars: ✭ 87 (+16%)
Mutual labels: reconstruction
MvstudioAn integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.
Stars: ✭ 154 (+105.33%)
Mutual labels: reconstruction
treestoolboxTREES toolbox
Stars: ✭ 20 (-73.33%)
Mutual labels: reconstruction
SnowflakeNet(TPAMI 2022) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
Stars: ✭ 74 (-1.33%)
Mutual labels: 3dvision
TomopyTomographic Reconstruction in Python
Stars: ✭ 188 (+150.67%)
Mutual labels: reconstruction
VolumetriccaptureA multi-sensor capture system for free viewpoint video.
Stars: ✭ 243 (+224%)
Mutual labels: reconstruction
torchkbnufftA high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
Stars: ✭ 133 (+77.33%)
Mutual labels: reconstruction
Recent slam researchTrack Advancement of SLAM 跟踪SLAM前沿动态【2021 version】
Stars: ✭ 2,387 (+3082.67%)
Mutual labels: reconstruction
mix3dMix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)
Stars: ✭ 183 (+144%)
Mutual labels: 3dvision
carvemeCarveMe: genome-scale metabolic model reconstruction
Stars: ✭ 99 (+32%)
Mutual labels: reconstruction
awesome-3dAwesome list of 3D resources. AR/MR/VR is the future, and 3D model is the basics of all of them.
Stars: ✭ 42 (-44%)
Mutual labels: reconstruction
probabilistic nlgTensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Stars: ✭ 28 (-62.67%)
Mutual labels: reconstruction
zoomgRestoring room images from virtual background images
Stars: ✭ 32 (-57.33%)
Mutual labels: reconstruction