Zitian Zhang, 张梓添

I am a PhD student in computer science at Université Laval. I feel very fortunate to have the opputunity to work with Prof. Jean-François Lalonde and this amazing lab! My research focuses on high-quality object insertion, lighting estimation with diffusion models.

Before joining Université Laval, I completed my MEng in Computer Technologies in South China University of Technology with Prof. Chuhua Xian, focusing on consistent depth estimation and BRDF estimation. During this period, I had the pleasure to intern as an Unreal Engine developer to develop my own mini-game in Alibaba Lingxi Interactive. I also worked as a rendering developer intern in Revobit, a start-up focusing on cloud rendering for the fashion industry. I got my BMgnt in E-Commerce from Xidian University.

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Research

My research concentrate on high-quality object insertion and lighting estimation, leveraging diffusion models to achieve seamless, realistic object compositing across diverse scenes. My goal is to develop compositing methods that integrate precise shading and shadow with user inputs, and accurate environmental conditions while minimizing the need for extensive paired data or supervised training.

ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion

Zero-shot 3D object compositing approach that does not require paired composite-scene images during training and can be easily extended to 2D object compositing and material editing.

Delving into Multi-illumination Monocular Depth Estimation: A New Dataset and Method

An indoor RGB-D dataset with multi-illuminations, and a method for consistent depth estimation under changing lighting.

Other Projects

These include intern projects, and other projects that I have worked on.

Oasis: A survival simulation game (unfinished)

In a scorching desert, the player discovers an oasis and must lead people to work and survive there.

Design and source code from Jon Barron's website and Leonid Keselman's website.