Pinned Repositories
3D-R2N2
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
AssignmentTemplateRoadsToAcademic
AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
awesome-NeRF
A curated list of awesome neural radiance fields papers
awesome-neural-rendering
A collection of resources on neural rendering.
BSP-NET-pytorch
PyTorch 1.2 implementation of BSP-NET.
bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
DepthEstimationOverview
MathLectureNotes
trisct's Repositories
trisct/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
trisct/Point-Transformers
Point Transformers
trisct/detr
End-to-End Object Detection with Transformers
trisct/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
trisct/IM-NET
The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
trisct/pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
trisct/bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
trisct/point-transformer-pytorch
Implementation of the Point Transformer layer, in Pytorch
trisct/awesome-NeRF
A curated list of awesome neural radiance fields papers
trisct/NSVF
Open source code for the paper of Neural Sparse Voxel Fields.
trisct/dingtalk
钉钉桌面版,基于electron和钉钉网页版开发,支持Windows、Linux和macOS
trisct/raytracing.github.io
Main Web Site (Online Books)
trisct/AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
trisct/pifuhd
High-Resolution 3D Human Digitization from A Single Image.
trisct/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
trisct/raytracinginoneweekendincuda
The code for the ebook Ray Tracing in One Weekend by Peter Shirley translated to CUDA by Roger Allen. This work is in the public domain.
trisct/if-net
trisct/DepthEstimationOverview
trisct/CV_interviews_Q-A
CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!
trisct/videoavatars
This repository contains code corresponding to the paper Video based reconstruction of 3D people models.
trisct/SimCLR-2
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
trisct/simclr-1
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
trisct/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
trisct/SupervisedDepthPrediction
Pytorch framework for supervised depth prediction
trisct/DORN_pytorch
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
trisct/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
trisct/VIPSS
trisct/occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
trisct/3D-R2N2
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
trisct/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation