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Found 6 papers, 5 papers with code
Fine-Grained VR Sketching: Dataset and Insights
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.
Towards 3D VR-Sketch to 3D Shape Retrieval
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.
Structure-Aware 3D VR Sketch to 3D Shape Retrieval
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.
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context
We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-COCO.
One Sketch for All: One-Shot Personalized Sketch Segmentation
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.
Deep Sketch-Based Modeling: Tips and Tricks
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.
