7 papers
Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Exploration
Kfir Goldberg, Elad Richardson, Yael Vinker
While generative models have become powerful tools for image synthesis, they are typically optimized for executing carefully crafted textual prompts, offering limited support for t…
Teaching an Agent to Sketch One Part at a Time
Xiaodan Du, Ruize Xu, David Yunis +2
We develop a method for producing vector sketches one part at a time. To do this, we train a multi-modal language model-based agent using a novel multi-turn process-reward reinforc…
Instance Segmentation of Scene Sketches Using Natural Image Priors
Mia Tang, Yael Vinker, Chuan Yan +2
Sketch segmentation involves grouping pixels within a sketch that belong to the same object or instance. It serves as a valuable tool for sketch editing tasks, such as moving, scal…
SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation
Ellie Arar, Yarden Frenkel, Daniel Cohen-Or +2
Recent advancements in large vision-language models have enabled highly expressive and diverse vector sketch generation. However, state-of-the-art methods rely on a time-consuming…
NeuralSVG: An Implicit Representation for Text-to-Vector Generation
Sagi Polaczek, Yuval Alaluf, Elad Richardson +2
Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vi…
Generative Visual Communication in the Era of Vision-Language Models
Yael Vinker
Visual communication, dating back to prehistoric cave paintings, is the use of visual elements to convey ideas and information. In today's visually saturated world, effective desig…