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Pakkapon Phongthawee

Computer Vision & HPC Systems

I am a Ph.D. candidate in the Vision and Learning Lab (VLL) at VISTEC in Rayong, Thailand, advised by Prof. Supasorn Suwajanakorn. My research focuses on advancing state-of-the-art neural rendering, lighting estimation, and diffusion models. Concurrently, I architect and manage the primary HPC infrastructure for both our lab and the wider institute, overseeing a 200+ GPU compute cluster that powers large-scale AI research

Pakkapon Phongthawee

Publications & Research

DiffusionLight-turbo

DiffusionLight-Turbo TPAMI 2026

Accelerates the estimation of high-dynamic-range (HDR) environment maps to deliver accurate scene lighting in under 30 seconds.

DiffusionLight

DiffusionLight CVPR 2024 (ORAL)

Estimates realistic scene illumination by virtually in-painting a reflective chrome ball into any standard image.

StyleGAN Salon

StyleGAN Salon CVPR 2023

Performs high-fidelity, structure-aware hairstyle transfer seamlessly adapting reference hair onto target portrait images.

NeX360 TPAMI 2022

Achieves real-time, 360-degree novel view synthesis for highly detailed object-centric scenes.

NeX CVPR 2021 (ORAL)

Enables real-time novel view synthesis of complex forward-facing scenes utilizing neural basis expansion.

HPC Cluster Environment

HPC & AI Compute Management

  • Server Admin: Deployment, hardware monitoring, and thermal management.
  • Orchestration: Slurm, Docker/Singularity environments with CUDA GPUs.
  • Storage: High-throughput dataset I/O optimization using BeeGFS and NFS.
  • Data Distribution: Architected and maintain a geo-distributed dual-mirror file system (east.ph.in.th / west.ph.in.th) to reliably serve large-scale datasets for sharing my research.
  • Web: Maintaining and coding web applications using LAMP stack and modern JavaScript frameworks.

Experience & Education

Experience

2019 - Present
HPC Admin @ VISTEC

Education

2019 - Present
Ph.D. in Information Science and Technology @ VISTEC

2015 - 2019
B.Sc in Mathematics @ Silpakorn University
GPA: 3.62 / 4.00 (First Class Honors)