Peng Chen

I am a second-year master student at Institute of Software, Chinese Academy of Sciences, supervised by Prof. Hui Chen from ISCAS. I received my B.S. in Computer Science from University of Science and Technology, Beijing in 2023 and obtained Beijing Distinguished Graduate Award and Beijing Outstanding Graduation Design (Thesis).

I am seeking a PhD opportunity closely aligned with my research interests.

My areas of focus include 3D Vision, AIGC and MLLM.

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We use 2DGS to maintain the surface geometry and employ 3DGS for color correction in areas where the rendering quality of 2DGS is insufficient, reconstructing a realistically and geometrically accurate 3D head avatar.

We propose GazeGaussian, a high-fidelity gaze redirection method that uses a two-stream 3DGS model to represent the face and eye regions separately.

We propose a novel framework named the VARP agent, which directly takes game screenshots as input and generates keyboard and mouse operations to play the ARPG.

We propose DiffusionTalker, a diffusion-based method that utilizes contrastive learning to personalize 3D facial animation and knowledge distillation to accelerate 3D animation generation.

Given a target facial video as reference, bring your own character into our solution integrated with Unity3D, it automatically generates facial animation for the virtual character.