tuananh1007

architectural_style_transfer

Code and data release for ICCP 2022 paper "Time-of-Day Neural Style Transfer for Architectural Photographs".

Semantic-Segmentation-Architectures-Implemented-in-PyTorch

https://meetshah1995.github.io/semantic-segmentation/deep-learning/pytorch/visdom/2017/06/01/semantic-segmentation-over-the-years.html

tuananh1007.github.io

My personal page

MarineInst20M

The official dataset repository of "MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description". ECCV 2024.

stylecity3d

[ECCV 2024] StyleCity: Large-Scale 3D Urban Scenes Stylization with Vision-and-Text Reference via Progressive Optimization

3d-vision-transformers

A list of 3D computer vision papers with Transformers

AI_Chem

Assignments-CS231N-Convolutional-Neural-Networks-for-Visual-Recognition-2016-2017-

Awesome-Instance-Segmentation

Some papers about instance segmentation

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Awesome-Video-Instance-Segmentation-Papers

awesome-vit

bibtex-tidy

Cleaner and Formatter for BibTeX files

BoostingMonocularDepth

DCCDIF_project_page

diffusion_models

All about the fundamentals and working of Diffusion Models

DPT

Dense Prediction Transformers

EffectivePyTorch

PyTorch tutorials and best practices.

LargeScaleNeRFPytorch

1. Weekly classified NeRF literature. 2. Non-official implementation of Block-NeRF and Mega-NeRF in Pytorch. 3. Train your large-scale NeRF in the wild.

latexify_py

A library to generate LaTeX expression from Python code.

Mesh_Segmentation

some materials about mesh segmentation, including papers, videos, codes, and so on. Updating every day!

MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

Networks-Beyond-Attention

A compilation of network architectures for vision and others without usage of self-attention mechanism

ODISE

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

opendr

A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning

paco

This repo contains documentation and code needed to use PACO dataset: data loaders and training and evaluation scripts for objects, parts, and attributes prediction models, query evaluation scripts, and visualization notebooks.

point-cloud-utils

A Python library for common tasks on 3D point clouds

scalable-pytorch-sinkhorn

Fast, Memory-Efficient Approximate Wasserstein Distances. This repository contains PyTorch code to compute fast p-Wasserstein distances between d-dimensional point clouds using the Sinkhorn Algorithm. This implementation uses linear memory overhead and is stable in float32, runs on the GPU, and fully differentiable.

vit-visualization

WriteCodeInLaTeX