🍀About me

Come from Taiyuan, Shanxi, China, 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

📝 Publications

ARXIV

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

Jiawei Wang, Shuai Yuan, Mingbo Lei, Yibo Chen

[Website] [Paper] [Demo] [Model]

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This paper presents ApDepth, a novel single-step diffusion framework for monocular depth estimation that achieves fast inference while preserving fine-grained edge details through a tailored two-stage training strategy combined with novel frequency-domain and cosine similarity losses.

ARXIV

ApDepth-G: Mitigating Pseudo-Texture Artifacts in Diffusion-Based Models

Jiawei Wang, Mingbo Lei, Haoze Shou, Yusu Liang

[Website] [Paper] [Model]

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We presents ApDepth-G, a multi-step geometric diffusion refinement framework for sky-stable monocular depth estimation. It progressively refines latent depth representations through multi-step denoising and improves training with offset noise regularization, SNR-based loss reweighting, and latent gradient consistency.

🎈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