Haruko386

ApDepth: Aiming for Precise Monocular Depth Estimation Based on Diffusion Models

This project contains the boards I used in my 2 years of ACM competition study, CV it please.

ISS: Image Stiching Super based on Diffusion Model

A lightweight, highly concurrent thread dispatcher based on Go

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

For Stardew Valley 1.6

This is my own handwritten first django project, a timeline picture display album, newcomers for the first time to learn Py development, please forgive me. Undergraduates are welcome to use it as their course design.

基于Django的文章展示系统

I learned from scratch and built this project from the ground up.

This is my introductory project for learning Vue.js. Using the src_user.json file exported from speedrun.com, I've recreated the personal profile page from speedrun.com.

Legacy-Mess Detector – assess the “legacy-mess level” of your code and output a beautiful report | 屎山代码检测器，评估代码的“屎山等级”并输出美观的报告

Official implementation of "DepthMaster: Taming Diffusion Models for Monocular Depth Estimation".

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

Java mod list for my own useage

A PointCloud generate app for Depth Estimation

Students managements based on Django

基于GIN+GORM的论文管理系统

This is the summary of my science project

这是我学习Django的文件夹

This is my blog, Science topic. Welcome to my daily Blog:"dimon0000000.github.io"

Dynamically generated Code::Stats stats for your profile readme.

A Go-based paper RAG system using MinIO for document artifacts, PaddleOCR for parsing, Elasticsearch for lexical retrieval, and Amaranth for vector retrieval.

👻🧱🚀 Turn your GitHub contribution graph into an arcade game SVG animation! Easy to integrate into your profile with GitHub Actions 🚀.

Training code for Stage 1 of the ApDepth deep estimation.

Amaranth is a lightweight C++ vector search engine designed for RAG experiments. It supports flat vector search, persistent collections, cosine/L2/IP distance, and is integrated as an optional retrieval backend in a Go-based paper RAG system.

Based on ApDepth, we present ApDepth-G. It adopts the multi-step denoising inference approach of diffusion models while simultaneously resolving the pseudo-texture issue in Marigold.

A 2D platform game (a fan-made version of Celeste)

[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

好耶 是女装 | 备份·接受PR

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