Anran Qi

Project Assistant Professor
Igarashi Lab · The University of Tokyo

Curriculum Vitae ↗ Google Scholar ↗ Email

I am a Project Assistant Professor at Igarashi Lab, the University of Tokyo, working with Prof. Takeo Igarashi. Previously, I was a postdoctoral researcher at Inria – Université Côte d’Azur, working with Dr. Adrien Bousseau. I received my Ph.D. from the University of Surrey, where I was advised by Prof. Yi-Zhe Song and Dr. Yulia Gryaditskaya.

My research lies at the intersection of Computer Graphics, Human-Computer Interaction, and Machine Learning. I develop computational methods that help people design and fabricate, with interests spanning computational design, sketches, garments, and AI-assisted creative tools.

	Voronoi Scissors: Approximate Dissection of 2D Shapes with Continuous Optimization Anran Qi, Nico Pietroni, Mikhail Bessmeltsev, Nobuyuki Umetani, Adrien Bousseau, Takeo Igarashi Conditionally Accepted to Siggraph Asia 2026 (Conference track) [PDF] [Project Page] [Video] [Supplementary]
	Many-Videos Browsing: Interactive Visualization of Generated Video Collections Jotaro Sakamiya, George Xu, Anran Qi, I-Chao Shen, Nadav Cohen, Yuki Koyama, Takeo Igarashi Conditionally Accepted to Siggraph Asia 2026 (Conference track) [PDF] [PDF]
	Rags2Riches: Computational Garment Reuse Anran Qi, Nico Pietroni, Maria Korosteleva, Olga Sorkine-Hornung, Adrien Bousseau Siggraph 2025 (Conference track) [PDF] [Project Page] [Supplementary]
	GarmentImage: Raster Encoding of Garment Sewing Patterns with Diverse Topologies Yuki Tatsukawa, Anran Qi, I-Chao Shen, Takeo Igarashi Siggraph 2025 (Conference track) [PDF] [Project Page]
	Sketch2Data: Recovering Data from Hand-Drawn Infographics Anran Qi, Theophanis Tsandilas, Ariel Shamir, Adrien Bousseau Computer & Graphics (Presented at Expressive 2025) [PDF] [Project Page] [Supplementary]
	FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization Yuki Tatsukawa, I-Chao Shen, Mustafa Doga Dogan, Anran Qi, Yuki Koyama, Ariel Shamir, Takeo Igarashi CHI 2025 [PDF] [Project Page]
	3D Reconstruction from Sketch with Hidden Lines by Two-Branch Diffusion Model Yuta Fukushima, Anran Qi, I-Chao Shen, Yulia Gryaditskaya, Takeo Igarashi Eurographics 2024 Short Paper [PDF] [Video]
	FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications Yuki Tatsukawa, I-Chao Shen, Anran Qi, Yuki Koyama, Takeo Igarashi, Ariel Shamir Eurographics 2024 [PDF] [Project Page]
	PerfectTailor: Scale-Preserving 2D Pattern Adjustment Driven by 3D Garment Editing Anran Qi and Takeo Igarashi IEEE Computer Graphics and Applications (CG&A, Presented at GMP 2025) [PDF] [Project Page]
	PerfectDart: Automatic Dart Design for Garment Fitting Charles de Malefette, Anran Qi, Amal Dev Parakkat, Marie-Paule Cani, Takeo Igarashi SIGGRAPH ASIA 2023 Technical Communication, Best Paper Award [PDF] [Project Page]
	PerfectFit: Custom-Fit Garment Design in Augmented Reality Akihiro Kiuchi, Anran Qi, Eve Mingxiao Li, Dávid Maruscsák, Christian Sandor, Takeo Igarashi SIGGRAPH ASIA 2023 XR, Best XR Demo Award [PDF] [Project Page]
	Computational Design of Nebuta-like Paper-on-Wire Artworks Naoki Agata, Anran Qi, Yuta Noma, I-Chao Shen, Takeo Igarashi SIGGRAPH 2023 Poster [PDF]
	EnchantedBrush: Animating in Mixed Reality for Storytelling and Communication Eve Mingxiao Li, Anran Qi, Mauricio Sousa, Tovi Grossman Graphics Interface 2023 [PDF] [Video]
	PersonalTailor: Personalizing 2D Pattern Design from 3D Point Clouds Anran Qi, Sauradip Nag, Xiatian Zhu, Ariel Shamir Arxiv [PDF]
	OVERPAINT: Automatic Multi-Layer Stencil Generation without Bridges Yuta Fukushima, Anran Qi, I-Chao Shen and Takeo Igarashi SIGGRAPH ASIA 2022 Technical Communication, 2022 [PDF]
	One Sketch for All: One-Shot Personalized Sketch Segmentation Anran Qi, Yulia Gryaditskaya, Tao Xiang and Yi-Zhe Song IEEE Transactions on Image Processing (TIP), 2022 [PDF] [Suppl.] [Keypoints Suppl.] [Segmentation Suppl.]
	How Far Can I Go?: A Self-Supervised Approach for Deterministic Video Depth Forecasting Sauradip Nag, Nisarg A Shah, Anran Qi* and Raghavendra Ramachandras IML4AD Workshop in Advances in Neural Information Processing Systems (NIPSW), 2021 [PDF]
	Towards Fine-Grained Sketch-Based 3D Shape Retrieval Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang and Yi-Zhe Song IEEE Transactions on Image Processing (TIP), 2021 [PDF]
	Semantic Embedding for Sketch-Based 3D Shape Retrieval Anran Qi, Yi-Zhe Song and Tao Xiang British Machine Vision Conference (BMVC), 2018 [PDF]

Working Experience

University of Tokyo Project Assistant Professor Advisor: Prof. Takeo Igarashi	Dec. 2025 - Now
GraphDeco, Inria Sophia-Antipolis Post-Doctoral Fellow Advisor: Dr. Adrien Bousseau	Dec. 2023 - Dec. 2025
University of Tokyo Project Assistant Professor Advisor: Prof. Takeo Igarashi	Apr. 2023 - Nov. 2023
University of Tokyo Postdoctoral Researcher Advisor: Prof. Takeo Igarashi Research on next-generation knit innovation	Nov. 2021 - Mar. 2023
Samsung Electronics, UK Assistant Engineer Advisor: Dr. Mete Ozay	Jan. 2020 - July 2020

Education Background

University of Surrey (UoS) Ph.D. in Computer Science, SketchX Lab Supervisor: Prof. Yi-Zhe Song, Dr. Yulia Gryaditskaya Prof. Tao Xiang *Transfer from QMUL to UoS with supervisors	Apr. 2019 - Oct. 2021
Queen Mary University of London (QMUL) Ph.D. in Computer Science, SketchX Lab Supervisor: Prof. Yi-Zhe Song, Prof. Tao Xiang	Sept. 2017 - Apr. 2019
Queen Mary University of London (QMUL) & Beijing University of Posts and Telecommunications (BUPT) B.Sc (Hons) in Telecommunications Engineering with Management	Sept. 2013 - Jun. 2017

Technical Papers Committee Member: Eurographics 2025,2026, Pacific Graphics 2025, SMI2026

Journal: TVCG, TIP, C&G

Conference: SIGGRAPH 2022,24,25,26, SIGGRAPH ASIA 2023,25,26, CHI2024,25,26, SCF 2025,26, PG 2026

Multimedia System, Queen Mary University of London, 2018
Guest Lecturer, Applied Computer Graphics 4860-1084, the University of Tokyo, 2026

Anran Qi

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