7 papers · 1 filter
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…
ShapeUP: Scalable Image-Conditioned 3D Editing
Inbar Gat, Dana Cohen-Bar, Guy Levy +2
Recent advancements in 3D foundation models have enabled the generation of high-fidelity assets, yet precise 3D manipulation remains a significant challenge. Existing 3D editing fr…
Piece it Together: Part-Based Concepting with IP-Priors
Elad Richardson, Kfir Goldberg, Yuval Alaluf +1
Advanced generative models excel at synthesizing images but often rely on text-based conditioning. Visual designers, however, often work beyond language, directly drawing inspirati…
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…
pOps: Photo-Inspired Diffusion Operators
Elad Richardson, Yuval Alaluf, Ali Mahdavi-Amiri +1
Text-guided image generation enables the creation of visual content from textual descriptions. However, certain visual concepts cannot be effectively conveyed through language alon…
LCM-Lookahead for Encoder-based Text-to-Image Personalization
Rinon Gal, Or Lichter, Elad Richardson +4
Recent advancements in diffusion models have introduced fast sampling methods that can effectively produce high-quality images in just one or a few denoising steps. Interestingly,…