Jiang Ruixiang (江睿翔)

I am currently a phd candidate ChenLAB , The Hong Kong Polytechnic University (PolyU). My supervisor by Prof. Chen Changwen, and I am honored to receive the PPPFS scholarship . I obtained my Bsc. degree at PolyU with first class honor, and my major is Computer Science .

My research interests primarily lie in the intersection between Computer Graphics and Computer Vision. Currently I focusing on building AI systems that aligns with human aesthetic preference for image generation.

Email: rui-x [d] jiang [AT] connect [d] polyu [d] hk.

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We propose a training-free method that stylize image with a style prompts, achieving high aesthetic controllability.

We design a prompt-based multimodal fusion method, achieving similar result with fine-tuning while only require 0.8% trainable parameters.

We propose the first end-to-end object counting model that count anything using text prompt.

We propose the first complete pipeline for creating, editing and animating neural human avatars.

We stylize neural implicit scene to a specific art style by a text prompt.

We propose to leverage toon-shading and model outlining priors to better encode non-photorealistic scene with neural implicit fields.

A pencil-sketch (a.k.a. hatching) style shader for Unity.

Last updated: Sep 4, 2024,

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