Shota Hattori

coros-workout-mcp. MCP server for creating COROS strength workouts via the Training Hub API

gaustudio. A Modular Framework for 3D Gaussian Splatting and Beyond

ml-sharp. Sharp Monocular View Synthesis in Less Than a Second

ETAP. The official implementation of "ETAP: Event-based Tracking of Any Point" (CVPR 2025 Highlight)

LongSplat. [ICCV 2025] LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos

CTImageReconstruction. C++

PromptDA. [CVPR 2025] Prompt Depth Anything

blender-mcp. Open-source MCP to use Blender with any LLM

streamlit-cropper. A simple image cropper for Streamlit

Watermark-Removal-Pytorch. 🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.

watermark-removal. a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

DELIVER. Repository of DELIVER dataset and CMNeXt models (CVPR 2023)

RGBX_Semantic_Segmentation. Python

event_utils. Collection of event based vision utility functions

AdaMPI. [SIGGRAPH 2022] Single-View View Synthesis in the Wild with Learned Adaptive Multiplane Images

IncEventGS. [CVPR 2025 Highlight]: IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera

e2calib. CVPRW 2021: How to calibrate your event camera

blendify. Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.

RATE. RATE: Real-time Asynchronous Feature Tracking with Event Cameras. M. Ikura, et.al., IROS2024

dn-splatter. DN-Splatter + AGS-Mesh: Depth and Normal Priors for Gaussian Splatting

tof-ar-samples-ar. Sample application for ToF AR toolkit.

gaussian-splatting-lightning. A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer

supersplat. 3D Gaussian Splat Editor

viser. Web-based 3D visualization in Python

election2024. 東京都知事選2024のリポジトリ

events_contrast_maximization. A python library for contrast maximization and voxel creation using events

pyJBU. A Python implementation of Joint Bilateral Upsampling

cuda_and_ct_material. 研究室内のcuda教材

FunctionRenderer. CSG and implicit function-based models are rendered using Sphere Tracing

4DGaussians. [CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

gsplat. CUDA accelerated rasterization of gaussian splatting

gaussian-splatting. Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

EssenGing.github.io. CSS

posterization.

robust-e-nerf. Source code for "Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion" (ICCV 2023)

nrc-exporter. Download your runs data from Nike Run Club and convert it to GPX format that can be imported in other running apps.

meshes. A repository with a variety of meshes with minimal licensing requirements.

nerfstudio. A collaboration friendly studio for NeRFs

nope-nerf. (CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

nerfmm. (Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

relative_depth. Code for the NIPS 2016 paper

dense_depth_priors_nerf. Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

penrose. Create beautiful diagrams just by typing notation in plain text.

torch-ngp. A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

dynamic_stereo. [CVPR 2023] DynamicStereo: Consistent Dynamic Depth from Stereo Videos.

deforming-nerf. Code for "Deforming Radiance Fields with Cages", ECCV 2022.

nerf-pytorch. A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

D-NeRF. Jupyter Notebook

enerf. Implementation of E-NeRF: Neural Radiance Fields from a Moving Event Camera (https://arxiv.org/abs/2208.11300). Simulated dataset: https://vision.in.tum.de/research/enerf

ndf. Neural Unsigned Distance Fields (NDF) - Codebase

event-based_vision_resources. Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc)

Synchronized-BatchNorm-PyTorch. Synchronized Batch Normalization implementation in PyTorch.

Awesome-Masked-Autoencoders. A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

tinymesh. TinyMesh is a light-weight mesh processing library in C/C++.

DIP-denosing. Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)

GP-DIP. Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)

DeepRED. DeepRED: Deep Image Prior Powered by RED

positional-encoding-image-prior. Official implementation of "Positional-encoding Image Prior" (PIP)

ECCV-2022-Papers.

graph-based-deep-learning-literature. links to conference publications in graph-based deep learning

pcl2pcl-gan-pub. Unpaired Point Cloud Completion on Real Scans using Adversarial Training

PMP-Net. Python

ShapeFormer. Official repository for the ShapeFormer Project

DISN. (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

AutoSDF. Jupyter Notebook

if-net. Implicit Feature Network (IF-Net) - Codebase

jonbarron.github.io. HTML

PatchComplete. This is the official code for "Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories"

awesome-3d-reconstruction-papers. A collection of 3D reconstruction papers in the deep learning era.

pypoisson. Poisson Surface Reconstruction Python Binding

ipsr. C++

diffusion-net. Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

Image-Inpainting. A paper summary of image inpainting

pointnet. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

event_based_optical_flow. The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)

neddf. [ECCV2022] Neural Density-Distance Fields (NeDDF)

pointnet.pytorch. pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

MeshGraphormer. Research code of ICCV 2021 paper "Mesh Graphormer"

Swin-Unet. [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

mvp. Training and Evaluation Code for "Mixture of Volumetric Primitives for Efficient Neural Rendering"

pifuhd. High-Resolution 3D Human Digitization from A Single Image.

python-osrm. A Python wrapper around the OSRM API

openrouteservice-py. :snake: The Python API to consume openrouteservice(s) painlessly!

JoJoGAN. Official PyTorch repo for JoJoGAN: One Shot Face Stylization

deep-generative-prior. Code for deep generative prior (ECCV2020 oral)

polyscope. A C++ & Python viewer for 3D data like meshes and point clouds

minimalist-portfolio. A simple minimalist one page portfolio. Link:

academicpages.github.io. Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

pulp. A python Linear Programming API

PyOptBook. 岩永二郎・石原響太・西村直樹・田中一樹 共著『Pythonではじめる数理最適化－ケーススタディでモデリングのスキルを身につけよう－』（オーム社、2021年）のサポートページです。

siren-pytorch. Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

siren. Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

idf. implicit displacement field

frame-interpolation. FILM: Frame Interpolation for Large Motion, In ECCV 2022.

ECCV2022-RIFE. ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

cv_tutorial_epipolar. tutorial for epipolar geometry using OpenCV

GeoBi-GNN. The implementation of a mesh denoising paper accepted by CAD

pmp-library. The Polygon Mesh Processing Library

SuperGluePretrainedNetwork. SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

voxelizer. A simple mesh voxelizer, GPU accelerated with CUDA

docker-hackmd. DEPRECATION: Please read our online documentation instead

PyMeshLab. The open source mesh processing python library

book_algorithm_solution. 拙著「問題解決力を鍛える!アルゴリズムとデータ構造」の補足資料。ソースコードと、章末問題への略解を掲載。

book_algorithm_trials. my answer for https://github.com/drken1215/book_algorithm_solution

drawio-desktop. Official electron build of draw.io

Manifold. Convert any Triangle Mesh to Watertight Manifold

point2mesh. Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

PoissonRecon. Poisson Surface Reconstruction

MeshCNN. Convolutional Neural Network for 3D meshes in PyTorch