🍀About me

Come from Taiyuan, Shanxi, China, completed my undergraduate studies at the University of Emergency Management, and I am currently pursuing a master’s degree in computer science at ShenYang Jianzhu University, supervised by Prof.Yuanshuai. For now, my primary research focuses on fine-tuning diffusion models for deep estimation tasks.

I used to participate in many ACM algorithm competitions(2022-2023), but have now retired. In my daily life, I enjoy reading and photography. You can view my photography collection in the Gallery. I’m also a Golang backend developer. Feel free to communicate with me about CV and Golang

🔬Science

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

Jiawei Wang†, Mengmeng Guo*, Mingbo Lei, Yibo Chen†

[Paper] [Code] [Demo]

We present Apdepth, a diffusion model, and associated fine-tuning protocol for monocular depth estimation.

• Single-Step Inference: A fast single-step diffusion depth estimation via MDE priors.
• Feature Alignment Stage: Feature alignment via a Conv Adapter and cosine loss prevents texture overfitting.
• Depth Estimation Stage: Spatial and frequency-domain losses ensure metric accuracy and sharp depth edges.

🎈ACM ＆ OI

ACM Algorithm Competition participant, primarily competing in online contests on platforms such as Leetcode, Atcoder, and Codeforces. Historical ratings on each platform are available here.

🏆Speedrun

I have participated in many speedrun competitions, mainly working on the Hollow Knight IL project, and have achieved top 30 worldwide rankings in each of them, even winning a WR in one of them and a fourth place in another.

WR on Hollow Knight Trial of the Warrior