Yulia Gryaditskaya

Dr. Yulia Gryaditskaya

Assistant Professor (Lecturer) in Artificial Intelligence

CVSSP and Surrey Institute for People-Centred AI, UK
Email address:

About

Yulia Gryaditskaya is Assistant Professor at CVSSP and the Surrey Institute for People-Centred AI, where she leads the Computational Creativity and Modeling Lab (CCMLab). Her main research interests lie in 2D and 3D generative AI.

Before joining CVSSP, she was a postdoctoral researcher (2017-2020) at Inria, GraphDeco, under Dr. Adrien Bousseau, where she studied concept sketching techniques and worked on problems of sketch understanding and sketch-based modeling. She received her PhD in 2017 from MPI Informatik, Germany, advised by Prof. Karol Myszkowski and Prof. Hans-Peter Seidel. Her 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 her PhD, she spent half a year in the Color and HDR group in Technicolor R&D, Rennes, France, under the guidance of Dr. Erik Reinhard. She received a degree (2007-2012) in Applied Mathematics and Computer Science with a specialization in Operation Research and System Analysis from the most prestigious university in Russia: Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics.

Yulia’s work has been published in top graphics and vision journals and conferences: including multiple publications in ACM Transactions on Graphics, Computer Graphics Forum (CGF), IEEE Transactions on Image Processing (TIP), ACM SIGGRAPH, ECCV, ICCV, CVPR and IEEE 3DV. She also co-authored an international patent, based on her CGF publication.

She frequently serves as a reviewer, program committee member, area chair and organizer in a large range of journals and conferences. In particular, she served as a program committee member (area chair) for SIGGRAPH Asia 2021,2022 and SIGGRAPH 2022,2023.

She led the organization of the popular Sketching for Human Expressivity Workshop Series (ICCV’21 and ECCV’22). She is frequently invited as a speaker. Among others she gave keynote talks at the ECCV 2022 workshop: "Drawings and abstract Imagery: Representations and Analysis" (DIRA) and CogSci 2022 workshop "From Images to Symbols: Drawing as a Window into the Mind".

Interview at ICCV Daily

Publications

2024
[c15] Open Vocabulary Scene Sketch Semantic Understanding
Ahmed Bourouis, Judith Ellen Fan, Yulia Gryaditskaya
CVPR, 2024.
paper | project_page |
[c14] Modeling Complex Vector Drawings with Stroke Clouds
Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya, Zhiyu Qu, Yi-Zhe Song
ICLR, 2024.
paper | project_page |
[c13] 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, 2024.
Coming soon! |
2023
[c12] 3D VR Sketch Guided 3D Shape Prototyping and Exploration
Ling Luo, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Yulia Gryaditskaya
ICCV, 2023.
paper | project_page |
[c11] Fine-Tuned but Zero-Shot 3D Shape Sketch View Similarity and Retrieval
Gianluca Berardi, Yulia Gryaditskaya
ICCV SHARP Workshop (ICCVW), 2023.
paper |
[c10] SketchXAI: A First Look at Explainability for Human Sketches
Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song
CVPR, 2023.
paper | project_page | |
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.
paper | project_page | |
[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.
paper | project_page |
[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.
paper | project_page |
[c6] Symmetry-driven 3D Reconstruction From Concept Sketches
Felix Hahnlein, Yulia Gryaditskaya, Alla Sheffer, Adrien Bousseau
SIGGRAPH North America, 2022.
paper | project_page |
[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
*Joint first authour
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
Yulia Gryaditskaya, Mark Sypesteyn, Jan Willem Hoftijzer, Sylvia Pont, Frédo Durand, Adrien Bousseau
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
Felix Hähnlein, Yulia Gryaditskaya, Adrien Bousseau
Journées Francaises d'Informatique Graphique et de Réalité virtuelle, 2019.
paper
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.
thesis
2016
[c1] Gloss Editing in Light Fields
Yulia Gryaditskaya, Belen Masia, Piotr Didyk, Karol Myszkowski,Hans-Peter Seidel
Proceedings of International Workshop on Vision, Modeling and Visualization (VMV), 2016.
paper | project_page |
2015
[j2] Motion Aware Exposure Bracketing for HDR Video
Yulia Gryaditskaya, Foteini Tania Pouli, Erik Reinhard, Karol Myszkowski, Hans-Peter Seidel
Computer Graphics Forum (Proc. EGSR), 2015.
paper | project_page |
2014
[j1] 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.
paper | project_page |

Released datasets

2022
FS-COCO: Scene sketches
fscoco.tar.gz (2.2 GB)
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
3D VR chair sketches by non professionals
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
SlowSketch
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.
ProSketch-3DChair
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.
Synthetic Chair Sketches
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.
3D VR sketch-3D Shape pairs
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.
OpenSketch++
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
OpenSketch
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
Calibrated HDR Images
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.

Students

PhD Students (ongoing):

PhD Students (past):

Master students (past):

  • 2023: Sam Gouhary, Yaswanth Morisetty, Rutwik Shete, Kodai Toyoki, Sanket Jadhav, Aishwarya Jayanthraj.
  • 2022: Harichander Singaravelu: "Perceptual losses for skecthes"
  • 2022: Praveen Kumaran Velliangiri: "GANs for sketch to image translation task"
  • 2022: Gavin Croft: "Conditional Generative Flow for 3D Shape Generation"
  • 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'

Under graduate students (ongoing):

  • 2023, Rongqing Yuan

Under graduate students (past):

  • 2015, Juliette Pelletier Engineering Internship: 'HDR Video Capture on a Mobile Device'

Professional Activities

2022-2023 Rising Stars in Computer Graphics Mentor

Organizer:

Area Chair/Technical Papers Committee Member:

Reviewer:

Program/Paper Committee Member:
  • Eurographics Symposium on Rendering (EGSR 2022),
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022, 2023),
  • 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

05/2023 Art and Science of Seeing Symposium, London -- "From 2D to 3D concept sketches by relying on sketching principles and visual cues"
05/2023 CVI2 Research Group, Luxembourg -- "Do you speak sketch?"
05/2023 The University of Tokyo -- "Do you speak sketch?"
04/2023 Graphics and Imaging Lab - Universidad de Zaragoza, Spain -- "Do you speak sketch?"
02/2023 Durham University, UK -- "Do you speak sketch?"
12/2022 Inria Sophia Antipolis workshop -- "Do you speak sketch?"
10/2022 ECCV 2022 workshop: "Drawings and abstract Imagery: Representations and Analysis" (DIRA) -- "Do you speak sketch?"
07/2022 CogSci 2022 workshop "From Images to Symbols: Drawing as a Window into the Mind"
06/2022 Virtual Environments and Computer Graphics' (VECG's) seminar series at UCL, London, UK
06/2021 Autodesk, London, UK
02/2021 University of Bath, UK
12/2020 Christmas Colloquium on Computer Vision, Skolkovo, Moscow, Russia
11/2018 MIT CSAIL, Boston, US

Academic activities

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

PhD examiner/jury member (External)

  • 2022, Felix Hähnlein, Inria, Universite C´ ote d’Azur, France. PhD thesis: "Binary Optimization for the Analysis and Synthesis of Concept Sketches"
  • 2022, Tarek Ben Charrada, École Nationale Supérieure de l’Électronique et de ses Applications CY University, France. PhD thesis: "3D Reconstruction from Single RGB Images"

Masters examiner (Internal)

  • 2023: Hadeel Alsadoun, Sooraj Biju
  • 2022: Alejandro Hernandez Dıaz, Gavin Croft

Undergraduates examiner (Internal)

  • 2023: Alfie Walding, Alp Orgun, Charley Watts

Hobbies

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