Pinned Repositories
bingham-rotation-learning
A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
blender_server
BlenderProc
A procedural blender pipeline to generate images for deep learning
BPnP
Back-propagatable PnP
catalyst
Accelerated DL R&D
chamfer_distance
Implementation of the Chamfer Distance as a module for PyTorch
chamferdist
Pytorch package to compute Chamfer distance between point sets (pointclouds).
grasp_diffusion
Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home
owl-vit-object-detection
object detection based on owl-vit
ike-taku's Repositories
ike-taku/grasp_diffusion
Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home
ike-taku/owl-vit-object-detection
object detection based on owl-vit
ike-taku/BPnP
Back-propagatable PnP
ike-taku/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
ike-taku/deep_bingham
Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
ike-taku/DetectorFreeSfM
Code for "Detector-Free Structure from Motion", CVPR 2024
ike-taku/DIB-R
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)
ike-taku/diff-gaussian-rasterization
ike-taku/dino-vit-features
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
ike-taku/dot
Dense Optical Tracking: Connecting the Dots
ike-taku/egpu-switcher
🖥🐧 Setup script for eGPUs in Linux (X.Org)
ike-taku/EPro-PnP
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
ike-taku/evaluate_3d_reconstruction_lib
Given an input mesh, computes the F-score. This assumes that an appropriate path to the ground truth mesh is available.
ike-taku/Gaussian-SLAM
Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
ike-taku/gaussian-splatting-lightning
ike-taku/gaussian_rasterizer
ike-taku/gsplat
CUDA accelerated rasterization of gaussian splatting
ike-taku/mean_average_precision
Mean Average Precision for Object Detection
ike-taku/mesh_utils
ike-taku/NAFNet
The state-of-the-art image restoration model without nonlinear activation functions.
ike-taku/nerfstudio
A collaboration friendly studio for NeRFs
ike-taku/PhotorealismEnhancement
Code & Data for Enhancing Photorealism Enhancement
ike-taku/RoMa
[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.
ike-taku/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ike-taku/simple-knn
ike-taku/SMD-Nets
SMD-Nets: Stereo Mixture Density Networks
ike-taku/swapping-autoencoder-pytorch
Official Implementation of Swapping Autoencoder for Deep Image Manipulation (NeurIPS 2020)
ike-taku/tapnet
Tracking Any Point (TAP)
ike-taku/TEASER-plusplus
A fast and robust point cloud registration library
ike-taku/torch-splatting
A pure pytorch implementation of 3D gaussian splatting