Yulia Gryaditskaya

Dr. Yulia Gryaditskaya

Assistant Professor (Lecturer) in Artificial Intelligence at CVSSP and Surrey Institute for People-Centred AI, UK
Email address:


About

I am a Graphics and Vision Researcher, focusing on leveraging Graphics and Deep Learning for 2D and 3D sketch-related applications. I am primarily interested in AI, sketching and CAD for creation and creativity.

I am a lecturer (Assitant Professor) in Artificial Intelligence at CVSSP and Surrey Institute for People-Centred AI, UK, and I am co-director of the SketchX group. In 2020, I joined CVSSP and the SketchX group, led by Prof. Yi-Zhe Song as a Senior Research Fellow (2020-2022). Since then I have been co-advising PhD students working on sketch-based modeling, retrieval, segmentation and sketch-generation for professional and quick 2D or 3D sketches.

Before joining CVSSP, I was a postdoctoral researcher (2017-2020) at Inria, GraphDeco, under the guidance of Dr. Adrien Bousseau, where I studied concept sketching techniques and worked on sketch-based modeling.

I received my PhD (2012-2016) from MPI Informatik, Germany, advised by Prof. Karol Myszkowski and Prof. Hans-Peter Seidel. My PhD focused on High Dynamic Range (HDR) image calibration, capturing HDR video on a mobile device, tone mapping of HDR content, structured light fields, and editing materials in such light fields. While working on my PhD, I spent half a year in the Color and HDR group in Technicolor R&D, Rennes, France, under the guidance of Dr. Erik Reinhard. I received a degree (2007-2012) in Applied Mathematics and Computer Science with a specialization in Operation Research and System Analysis from Lomonosov Moscow State University, Russia.

Interview at ICCV Daily


News

I will serve as an invited speaker at ECCV 2022 workshop: "Drawings and abstract Imagery: Representations and Analysis" (DIRA).

I am looking for highly motivated PhD and master students with strong technical background. PhD positions are fully funded and are based at CVSSP with PhD topics related to "AI, sketching, CAD and creativity". At the moment, all available PhD vacancies with start dates for the fall are filled, but there will be new calls soon Details, do not hesitate to contact me in advance.


Publications

2022
[c9] Garment Ideation: Iterative View-Aware Sketch-Based Garment Modeling
Pinaki Nath Chowdhury, Tuanfeng Wang, Duygu Ceylan, Yi-Zhe Song, Yulia Gryaditskaya
Proceedings of International Conference on 3D Vision (3DV) (oral), 2022.
[c8] Structure-Aware 3D VR Sketch to 3D Shape Retrieval
Ling Luo, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song
Proceedings of International Conference on 3D Vision (3DV), 2022.
[c7] FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context
Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
ECCV, 2022.
[c6] Symmetry-driven 3D Reconstruction From Concept Sketches
Felix Hahnlein, Yulia Gryaditskaya, Alla Sheffer, Adrien Bousseau
SIGGRAPH North America, 2022.
[j9] One Sketch for All: One-Shot Personalized Sketch Segmentation
Anran Qi, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song
IEEE Transactions on Image Processing, 2022.
paper | |
[j8] A Study of Deep Single Sketch-Based Modeling: View/Style Invariance, Sparsity and Latent Space Disentanglement
Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song
Computers & Graphics, 2022.
paper | project_page | |
2021
[c5] Fine-Grained VR Sketching: Dataset and Insights
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Proceedings of International Conference on 3D Vision (3DV), 2021.
paper | project_page | |
[j7] Towards Fine-Grained Sketch-Based 3D Shape Retrieval
Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
IEEE Transactions on Image Processing, 2021.
paper | |
2020
[j6] Lifting Freehand Concept Sketches into 3D
Yulia Gryaditskaya, Felix Hähnlein, Chenxi Liu, Alla Sheffer, Adrien Bousseau
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2020.
paper | project_page | |
[j5] Pixelor: A Competitive Sketching AI Agent. So you think you can sketch?
Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2020.
paper | project_page | |
[c4] Deep Sketch-Based Modeling: Tips and Tricks
Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song
Proceedings of International Conference on 3D Vision (3DV) - (Spotlight), 2020.
paper | project_page | |
[c3] Towards 3D VR-Sketch to 3D Shape Retrieval
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Proceedings of International Conference on 3D Vision (3DV) - (Oral), 2020.
paper | project_page | |
[j4] Towards Practical Sketch-based 3D Shape Generation: The Role of Professional Sketches
Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song
IEEE Transactions on Circuits and Systems for Video Technology, 2020.
paper | project_page | |
2019
[j3] OpenSketch: A Richly-Annotated Dataset of Product Design Sketches
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2019.
paper | project_page | |
[c2] Bitmap or Vector? A study on sketch representations for deep stroke segmentation
Journées Francaises d'Informatique Graphique et de Réalité virtuelle, 2019.
2017
High Dynamic Range Imaging: Problems of Video Exposure Bracketing, Luminance Calibration and Gloss Editing
Yulia Gryaditskaya
PhD Thesis, Faculty of Mathematics and Computer Science of Saarland University, 2017.
2016
[c1] Gloss Editing in Light Fields
Proceedings of International Workshop on Vision, Modeling and Visualization (VMV), 2016.
2015
[j2] Motion Aware Exposure Bracketing for HDR Video
Computer Graphics Forum (Proc. EGSR), 2015.
2014
[j1] Sky Based Light Metering for High Dynamic Range Images
Computer Graphics Forum (Proc. Pacific Graphics), 2014.

Released datasets

2022
Our dataset comprises 10, 000 freehand scene vector sketches with per point space-time information by 100 non-expert individuals, offering both object-and scene-level abstraction. Each sketch is augmented with its text description. This datset is a part of the paper:
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in COntext
Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
ECCV, 2022.
2021
We present the first fine-grained dataset of 1,497 3D VR sketch and 3D shape pairs for 1,005 chair shapes with large shapes diversity from the ShapeNetCore dataset from 50 participants. This datset is a part of the paper:
Fine-Grained VR Sketching: Dataset and Insights
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Proceedings of International Conference on 3D Vision (3DV), 2021.
2020
1700 sketches from 12 participants of 20 categories, where the participants were asked to target early sketch recognition. This datset is a part of the paper:
Pixelor: A Competitive Sketching AI Agent. So you think you can sketch?
Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2020.
A dataset of 1500 chair sketches by professional artists: front, side and 3/4 viewpoints. This datset is a part of the paper:
Towards Practical Sketch-based 3D ShapeGeneration: The Role of Professional Sketches
Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song
IEEE Transactions on Circuits and Systems for Video Technology, 2020.
The datset contains NPR sketches for a chair category of the ShapeNetCore dataset in two styles. This datset is a part of the paper:
Deep Sketch-Based Modeling: Tips and Tricks
Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song
Proceedings of International Conference on 3D Vision (3DV) - (Spotlight), 2020.
139 chair and 28 bathtub 3D VR sketches by novices. This datset is a part of the paper:
Towards 3D VR-Sketch to 3D Shape Retrieval
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Proceedings of International Conference on 3D Vision (3DV) - (Oral), 2020.
16 Vector concept sketches by 2 designers, collected in addtion to the skecthes in the OpenSketch dataset. This datset is a part of the paper:
Lifting Freehand Concept Sketches into 3D
Yulia Gryaditskaya, Felix Hähnlein, Chenxi Liu, Alla Sheffer, Adrien Bousseau
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2020.
2019
A richly-annotated dataset of more than 400 product design sketches. This datset is a part of the paper:
OpenSketch: A Richly-Annotated Dataset of Product Design Sketches
Yulia Gryaditskaya, Mark Sypesteyn, Jan Willem Hoftijzer, Sylvia Pont, Frédo Durand, Adrien Bousseau
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2019.
2014
A set of calibrated HDR images, with visible sky regions and color checker. This datset is a part of the paper:
Sky Based Light Metering for High Dynamic Range Images
Yulia Gryaditskaya, Foteini Tania Pouli, Erik Reinhard, Hans-Peter Seidel
Computer Graphics Forum (Proc. Pacific Graphics), 2014.

Professional Activities

2022-2023 Rising Stars in Computer Graphics Mentor

Area Chair/Technical Papers Committee Member:

Organizer:

Reviewer:

Program/Paper Committee Member:
  • Eurographics Symposium on Rendering (EGSR 2022),
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022),
  • International Conference on Computer Vision (ICCV 2021),
  • International Conference on 3D Vision (3DV 2021),
  • International Conference on Computational Visual Media (CVM 2020)
Conferences:
SIGGRAPH, SIGGRAPH Asia, Eurographics, Pacific Graphics, VMV
Journals:
ACM TOG, CAVW, Computers & Graphics, JEI, JVIP, Multimedia Systems, TCSVT, TIP, TVCG

Invited talks

10/2022 ECCV 2022 workshop: "Drawings and abstract Imagery: Representations and Analysis" (DIRA)
07/2022 CogSci 2022 workshop "From Images to Symbols: Drawing as a Window into the Mind"
01/06/2022 Virtual Environments and Computer Graphics' (VECG's) seminar series at UCL
06/2021 Autodesk, UK
02/2021 University of Bath, UK
12/2020 Christmas Colloquium on Computer Vision, Skolkovo, Moscow, Russia

Students:

  • 2022, July - 2022, December Gianluca Berardi visiting PhD student from the University of Bologna
  • 2021 -- ongoing, Pinaki Nath Chowdhury (coadvised with Yi-Zhe Song) PhD student
  • 2020 -- ongoing, Ling Luo (coadvised with Yi-Zhe Song) PhD student
  • 2020 -- 2022, Yue Zhong (coadvised with Yi-Zhe Song) PhD student, PhD thesis under review
  • 2020 -- 2021, Anran Qi (coadvised with Yi-Zhe Song) PhD student, has defended her PhD thesis on 8th November 2021 , Now: Postdoctoral Researcher at The University of Tokyo
  • 2019, Felix Hahnlein (coadvised with Adrien Bousseau) Research Internship: 'Sketch segmentation with geometric deep learning'
  • 2018, Adele Saint-Denis (coadvised with Adrien Bousseau) Research Internship: 'Non-photorealistic rendering'
  • 2017, Marina Menghetti (main advisor Adrien Bousseau) Research Internship: 'Strokes extraction from input video'
  • 2015, Juliette Pelletier Engineering Internship: 'HDR Video Capture on a Mobile Device'

Teaching:

  • 2023 Semester 1, VR/AR and Metaverse, Department of Electrical and Electronic Engineering, University of Surrey
  • 2022 Semester 2, EEE2041 Computer Vision and Graphics, Department of Electrical and Electronic Engineering, University of Surrey
  • 2015,2016, Realistic Image Synthesis : HDR & Tone Mapping at Saarland University


Hobbies

    Sketching and painting (personal page), architecture, city planning, traveling, hiking, sports.