skykone1's starred repositories
SyncDreamer
[ICLR 2024 Spotlight] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
sparf_pytorch
official repo for the paper "SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images"
holo_diffusion
Code repository for the CVPR2023 publication "HoloDiffusion: Training a 3D diffusion model using 2D Images"
Make-It-3D
[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
threestudio
A unified framework for 3D content generation.
bop_toolkit
A Python toolkit of the BOP benchmark for 6D object pose estimation.
Anything-3D
Segment-Anything + 3D. Let's lift anything to 3D.
projection-conditioned-point-cloud-diffusion
Official code for "Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction" (CVPR 2023)
toBeBetterJavaer
一份通俗易懂、风趣幽默的Java学习指南,内容涵盖Java基础、Java并发编程、Java虚拟机、Java企业级开发、Java面试等核心知识点。学Java,就认准二哥的Java进阶之路😄
libcbdetect
automatic sub-pixel checkerboard / chessboard / deltille pattern detection
checkerboard
🏁 More robust checkerboard detection, similar algorithm to libcbdetect
neural_renderer
"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.
ResNet18_Cifar10_95.46
Pytorch实现:使用ResNet18网络训练Cifar10数据集,测试集准确率达到95.46%(从0开始,不使用预训练模型)
ResNet5M-CIFAR10
The main goal of this project is to come up with an architecture having the highest test accuracy on the CIFAR-10 image classification dataset, under the constraint that model has no more than 5 million parameters.
wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
Image-Classification-PyTorch
Learning and Building Convolutional Neural Networks using PyTorch
2D-3D-Single-View-Reconstruction
IEEE paper implementation of Single-View 2D-3D Reconstruction.