Pinned Repositories
sp9103's Repositories
sp9103/cv-arxiv-daily
sp9103/AXXB-Calibration
sp9103/PixelDA-ADDA
sp9103/3ds_workshop_sample
workshop sample code
sp9103/adda
sp9103/AI-python-connect
sp9103/ConquestGym
sp9103/AR3DVision
Naver Labs Assignment
sp9103/ARC
Abstraction and Reasoning Challenge
sp9103/awesome-6d-object
Awesome work on object 6 DoF pose estimation and 3D reconstruction
sp9103/BlenderProc
A procedural Blender pipeline for photorealistic training image generation
sp9103/CycleGAN-tensorflow
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
sp9103/DeepIM-PyTorch
PyTorch implementation of the DeepIM framework
sp9103/DirectVoxGO
DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.
sp9103/EfficientNet-Lite
Pytorch implementation of EfficientNet-lite. ImageNet pre-trained models are provided.
sp9103/Gen6D
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
sp9103/megapose6d
Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.
sp9103/Neural-Style
'A Neural Algorithm of Artistic Style' colab implementation.
sp9103/OnePose_Plus_Plus
Code for "OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models" NeurIPS 2022
sp9103/Open3D
Open3D: A Modern Library for 3D Data Processing
sp9103/pnp
sp9103/RePOSE
Official Pytorch implementation of RePOSE (ICCV2021)
sp9103/SignatureExtract
# Signature Extract
sp9103/sp9103.github.io
Build a Jekyll blog in minutes, without touching the command line.
sp9103/splat
WebGL 3D Gaussian Splat Viewer
sp9103/SV
sp9103/template-pose
(CVPR 2022) Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper
sp9103/Tensorflow_Pix2Pix
Study Friendly Implementation of Pix2Pix in Tensorflow
sp9103/TradeStopReasonCrawler
sp9103/VQRF
Official implementation of our arxiv paper "Compressing Volumetric Radiance Fields to 1 MB"