Stars
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
🎉 A curated list of awesome things related to Vue.js
Large single page application with 45 pages built on vue2 + vuex. 基于 vue2 + vuex 构建一个具有 45 个页面的大型单页面应用
Conquer Any Code in VSCode: One-Click Comments, Conversions, UI-to-Code, and AI Batch Processing of Files! 在 VSCode 中征服任何代码：一键注释、转换、UI 图生成代码、AI 批量处理文件！💪
ArtifAI is designed to detect the potential origins of an artwork, whether generated by AI or created by human. It is dedicated to addressing copyright brought by generative artificial intelligence…
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
Modules, operators and utilities for 3D neural rendering in single-object, multi-object, categorical and large-scale scenes.
[CVPR'24] Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery
[CVPR 2023] Official implementation of the paper: MP-Former: Mask-Piloted Transformer for Image Segmentation
Revisiting K-Net for Real-Time Panoptic Segmentation. Code release for our IV 2023 paper.
PEM: Prototype-based Efficient MaskFormer for Image Segmentation
Code release for paper "You Only Segment Once: Towards Real-Time Panoptic Segmentation" [CVPR 2023]
[CVPR 2023] Unsupervised Continual Semantic Adaptation through Neural Rendering
A tool to distinguish between AI-generated and human-created images using the CvT-13 model.
[arXiv'23] PanopticNeRF-360 | [3DV'22] Panoptic NeRF
NeRFBK: Different datasets for evaluating NeRF-based methods for 3D reconstruction
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
A collaboration friendly studio for NeRFs
Instant neural graphics primitives: lightning fast NeRF and more
Implementation of "Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning"
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019
Pyramid Stereo Matching Network (CVPR2018)
Efficient Deep Learning for Stereo Matching Tensorflow 2.x
Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"
Depth estimation on mtk data with a CNN model trained for cost computation (MCCNN)
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG