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Shlomi Fruchter

5 accepted papers

2025

Magic Insert: Style-Aware Drag-and-Drop

ICCV 2025poster

We present Magic Insert, a method to drag-and-drop subjects from a user-provided image into a target image of a different style in a plausible manner while matching the style of the target image. This work formalizes our version of the problem of style-aware drag-and-drop and proposes to tackle it b…

Cited by 0SourcePDFScholar
2024

Curved Diffusion: A Generative Model With Optical Geometry Control

ECCV 2024poster

"State-of-the-art diffusion models can generate highly realistic images based on various conditioning like text, segmentation, and depth. However, an essential aspect often overlooked is the specific camera geometry used during image capture. The influence of different optical systems on the final s…

Cited by 1SourcePDFScholar
2024

ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

ECCV 2024poster

"[width=0.7]figures/frontp age.pdf Figure 1: Object removal and insertion. Our method models the effects of an object on the scene including occlusions, reflections, and shadows, enabling photorealistic object removal and insertion. It significantly outperforms state-of-the-art baselines. Diffusion…

Cited by 23SourcePDFScholar
2024

Style Aligned Image Generation via Shared Attention

CVPR 2024poster

Large-scale Text-to-Image (T2I) models have rapidly gained prominence across creative fields generating visually compelling outputs from textual prompts. However controlling these models to ensure consistent style remains challenging with existing methods necessitating fine-tuning and manual interve…