Currently, my research interest mainly lies in Computer Graphics, Computer Vision.
My goal is to design innovative algorithms and systems that can generate
realistic and efficient 3D environments, facilitating interactive and immersive experiences.
Whatever it takes, Let's create a world more realistic than ever!
we introduce a novel two-stage technique for decomposing and reconstructing facial features from sparse-view images,
a task made challenging by the unique geometry and complex skin reflectance of each individual.
MIRReS: Inverse Rendering using Multi-Bounce Path
Tracing and Reservoir Sampling Yuxin Dai,
Qi Wang,
Jingsen Zhu,
Dianbing Xi,
Yuchi Huo,
Chen Qian,
Ying He ICLR 2025
A novel two-stage inverse rendering framework that jointly reconstructs and optimizes explicit geometry, materials, and lighting from multi-view images. With the help of Reservoir Sampling and multi-bounce path tracing, our method achieves state-of-the-art performance in decomposition results.
FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion Zhihua Zhong,
Jingsen Zhu,
Yuxin Dai,
Chuankun Zheng,
Guanlin Chen,
Yuchi Huo,
Rui Wang,
Hujun Bao SIGGRAPH Asia 2023
The workload of real-time rendering is steeply increasing as the demand for high resolution,
overwhelming most graphics cards.
We introduce an efficient and effective H-Net architecture to solve this problem.
A Biophysically-based Skin Model for Heterogeneous Volume Rendering
Qi Wang,
Fujun Luan,
Yuxin Dai,
Yuchi Huo,
Rui Wang,
Hujun Bao CVM(CVMJ) 2023
In this work, we present a novel heterogeneous biophysically-based volume rendering method for human skin that improves
the realism of skin appearance while easily simulating various types of skin effects even skin diseases
by modifying the biological coefficients textures.