← Search

Yael Vinker

8 accepted papers

2025

NeuralSVG: An Implicit Representation for Text-to-Vector Generation

ICCV 2025poster

Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vision-language and diffusion models have fueled interest in text-to-vector graphics generation. However, existing approac…

2025

SketchAgent: Language-Driven Sequential Sketch Generation

CVPR 2025poster

Sketching serves as a versatile tool for externalizing ideas, enabling rapid exploration and visual communication that spans various disciplines. While artificial systems have driven substantial advances in content creation and human-computer interaction, capturing the dynamic and abstract nature of…

Cited by 5SourcePDFScholar
2024

Breathing Life Into Sketches Using Text-to-Video Priors

CVPR 2024highlight

A sketch is one of the most intuitive and versatile tools humans use to convey their ideas visually. An animated sketch opens another dimension to the expression of ideas and is widely used by designers for a variety of purposes. Animating sketches is a laborious process requiring extensive experien…

Cited by 29SourcePDFScholar
2023

CLIPascene: Scene Sketching with Different Types and Levels of Abstraction

ICCV 2023oral

In this paper, we present a method for converting a given scene image into a sketch using different types and multiple levels of abstraction. We distinguish between two types of abstraction. The first considers the fidelity of the sketch, varying its representation from a more precise portrayal of…

Cited by 101PDFScholar
2021

Image Shape Manipulation From a Single Augmented Training Sample

ICCV 2021poster

In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image. We find that extensive augmentation is key for enabling single image training, and incorporate the use of thin-plate-spline (TPS) as an effective augmentation. Our network learns to map…

Cited by 29PDFcodeScholar