Search Results for author: Yulia Gryaditskaya

Found 10 papers, 6 papers with code

Deep Sketch-Based Modeling: Tips and Tricks

1 code implementation12 Nov 2020 Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song

Deep image-based modeling received lots of attention in recent years, yet the parallel problem of sketch-based modeling has only been briefly studied, often as a potential application.

One Sketch for All: One-Shot Personalized Sketch Segmentation

no code implementations20 Dec 2021 Anran Qi, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song

We aim to segment all sketches belonging to the same category provisioned with a single sketch with a given part annotation while (i) preserving the parts semantics embedded in the exemplar, and (ii) being robust to input style and abstraction.

Segmentation

Structure-Aware 3D VR Sketch to 3D Shape Retrieval

1 code implementation19 Sep 2022 Ling Luo, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song

In particular, we propose to use a triplet loss with an adaptive margin value driven by a "fitting gap", which is the similarity of two shapes under structure-preserving deformations.

3D Shape Retrieval Retrieval

Towards 3D VR-Sketch to 3D Shape Retrieval

1 code implementation20 Sep 2022 Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song

In this paper, we offer a different perspective towards answering these questions -- we study the use of 3D sketches as an input modality and advocate a VR-scenario where retrieval is conducted.

3D Shape Retrieval Retrieval

Fine-Grained VR Sketching: Dataset and Insights

1 code implementation20 Sep 2022 Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song

We then, for the first time, study the scenario of fine-grained 3D VR sketch to 3D shape retrieval, as a novel VR sketching application and a proving ground to drive out generic insights to inform future research.

3D Shape Reconstruction 3D Shape Retrieval +1

SketchXAI: A First Look at Explainability for Human Sketches

no code implementations CVPR 2023 Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song

Following this, we design a simple explainability-friendly sketch encoder that accommodates the intrinsic properties of strokes: shape, location, and order.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

Fine-Tuned but Zero-Shot 3D Shape Sketch View Similarity and Retrieval

no code implementations14 Jun 2023 Gianluca Berardi, Yulia Gryaditskaya

We believe that our work will have a significant impact on research in the sketch domain, providing insights and guidance on how to adopt large pretrained models as perceptual losses.

Contrastive Learning Retrieval

Open Vocabulary Semantic Scene Sketch Understanding

no code implementations18 Dec 2023 Ahmed Bourouis, Judith Ellen Fan, Yulia Gryaditskaya

To obtain generalization to a large set of sketches and categories, we build on a vision transformer encoder pretrained with the CLIP model.

Disentanglement Visual Prompt Tuning

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