アインクラッド
Xiang Feng | 冯相
Education/Experience
Zhejiang University
M.Eng./B.Eng. in CS 2018/09 - Present
University of Utah
Research Assistant 2024/04 - 2024/10
Interests/Skills
- Generation/reconstruction of
appearance and shape - Simulation in 3D vision
- Acquisition and photography
- Embodied AI
Publication
Representative paper is highlighted.
ARM: Appearance Reconstruction Model for Relightable 3D Generation
Arxiv 2024 [project page] [arxiv]
*: contributed equally
Learning Photometric Feature Transform for Free-form Object Scan
TVCG 2024 [paper(3.0MB)] [arxiv(to be updated)]
Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering
Arxiv 2024 [project page] [paper]
*: contributed equally
ElastoGen: 4D Generative Elastodynamics
Arxiv 2024 [project page]
*: contributed equally
GS^3: Efficient Relighting with Triple Gaussian Splatting
SIGGRAPH Asia 2024 [project page]
*: contributed equally
Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination
CVPR 2024 [project page]
*: contributed equally
Differentiable Dynamic Visible-Light Tomography
SIGGRAPH Asia 2023 [project page]
*: contributed equally
Misc
Asuna: Vulkan-based Path Tracer
Asuna is a renderer base on vulkan ray tracing pipeline with NVIDIA card. It supports both rendering with gui and headless rendering. It implements multiple importance Monte Carlo sampling and fundamental materials. [code]
Circuit-level Differentiable Hardware for Visual Computing
Used a hardware-level(FPGA) diffrentiable device to capture geometry and appearance of real-world objects. We leverage a Basler racer line scanner camera to capture and optimize the physical properties of the LED lighting module, which is controled by a Zynq xilinx FPGA.
Simplay: implemented physically-based animation tools and algorithms
Implemented dynamics of Rigid body/cloth/elastic body/shallow wave/character animation. Stable fluid/PIC/FLIP/APIC/2-way coupling MPM were implemented. SIGGRAPH Paper Fast Simulation of Mass-Spring Systems and Position-Based Surface Tension Flow were also implenmented. [GAMES103/201,cloth,pbstf]