Anran Qi

Postdoctoral Researcher

GraphDeco
Inria Sophia-Antipolis
E-mail: anran.qi@inria.fr annranqi@gmail.com

I am a postdoctoral researcher at Inria Sophia-Antipolis in the GraphDeco research group, working with Dr. Adrien Bousseau.

My research focuses on Graphics, Deep Learning and HCI for garment design and human sketch understanding.

Working Experience

GraphDeco, Inria Sophia-Antipolis Post-Doctoral Fellow Advisor: Dr. Adrien Bousseau	Dec. 2023 - Now
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) B.Sc (Hons) in Telecommunications Engineering with Management	Sept. 2013 - Jun. 2017
Beijing University of Posts and Telecommunications (BUPT) B.Sc in Telecommunications Engineering with Management	Sept. 2013 - Jun. 2017

	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]
	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]
	PerfectTailor: Scale-Preserving 2D Pattern Adjustment Driven by 3D Garment Editing Anran Qi and Takeo Igarashi IEEE Computer Graphics and Applications (CG&A) [PDF]
	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]
	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]
	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]
	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]
	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]