Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
- computer-graphics
- computer-vision
- radiance-field
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Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
- manga
- anime
- ocr
- deep-learning
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
- 3d-object-detection
- lidar-point-cloud
- bevmap
- center
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
- 3d-tracking
- 3d-estimation
- monocular-3d-detection
- monocular-vehicle-tracking
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
- ai-for-science
- diffusion-models
- drug-design
- equivariant-networks
The EBU ADM Renderer, written in Python, is the reference implementation of EBU Tech 3388
A Tensorfflow implementation of Attend, Infer, Repeat
- tensorflow
- vae
- neural-networks
- attention-mechanism
This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
- image-processing
- images
- image-analysis
- deep-learning