Armando Teles Fortes Ph.D. Candidate MMLab@NTU S-Lab for Advanced Intelligence Email: armandol001 [at] ntu.edu.sg [GitHub] [Google Scholar] [LinkedIn]

Biography

I am a Ph.D. candidate of MMLab@NTU in the College of Computing and Data Science, Nanyang Technological University, advised by Prof. Xingang Pan. Before that, I received my M.Sc. degree from Tsinghua University, advised by Prof. Jun Zhu, and my B.Sc. degree from Instituto Superior Técnico. I also spent some time as an intern at AWS, and at the SAILING Lab, CMU.

My research explores the foundations of generative intelligence and methods for controllable multimodal generation.

Education

• 
  Nanyang Technological University
  Ph.D. Computer Science and Engineering
  Advisor: Prof. Xingang Pan
  

  Singapore
  2024 - Present
• 
  Tsinghua University
  M.Sc. Computer Science and Technology
  Advisor: Prof. Jun Zhu, Rank: 1/72
  

  Beijing, China
  2022 - 2024
• 
  Instituto Superior Técnico
  B.Sc. Computer Science and Engineering
  Grade: A, Academic Excellence Award

  Lisbon, Portugal
  2018 - 2021

Selected Publications

• 
  BokehDepth: Enhancing Monocular Depth Estimation through Bokeh Generation
  Hangwei Zhang, Armando Teles Fortes, Tianyi Wei, Xingang Pan
  Preprint, Under Review.
  [paper]
• 
  FastMesh: Efficient Artistic Mesh Generation via Component Decoupling
  Jeonghwan Kim, Yushi Lan, Armando Fortes, Yongwei Chen, Xingang Pan
  International Conference on 3D Vision (3DV) 2026
  [paper] [code]
• 
  Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models
  Armando Fortes, Tianyi Wei, Shangchen Zhou, Xingang Pan
  ACM SIGGRAPH Asia 2025
  [paper] [code] [dataset]

Honors & Awards

• 2024   NTU Research Scholarship Award (Ph.D.), Nanyang Technological University
• 2023   Winner of International Algorithm Case Competition (IACC), Pazhou Lab
• 2022   Chinese Government Scholarship (M.Sc.), Tsinghua University
• 2021   Academic Excellence Award, Instituto Superior Técnico
• 2020   Academic Merit Award, Instituto Superior Técnico

Teaching

• NTU CE6190 Special Topic - Recent Advances in Visual Understanding and Generation, Teaching Assistant, Fall 2025
• NTU SC1003 Introduction to Computational Thinking and Programming, Teaching Assistant, Fall 2025
• NTU SC1007 Data Structures and Algorithms, Teaching Assistant, Spring 2025

Academic Service

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026
• European Conference on Computer Vision (ECCV) 2026
• Neural Information Processing Systems (NeurIPS) 2026