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arXiv · 2602.14237

AbracADDbra: Touch-Guided Object Addition by Decoupling Placement and Editing Subtasks

Kunal Swami·Raghu Chittersu·Yuvraj Rathore·Rajeev Irny·Shashavali Doodekula·Alok Shukla
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Abstract

Instruction-based object addition is often hindered by the ambiguity of text-only prompts or the tedious nature of mask-based inputs. To address this usability gap, we introduce AbracADDbra, a user-friendly framework that leverages intuitive touch priors to spatially ground succinct instructions for precise placement. Our efficient, decoupled architecture uses a vision-language transformer for touch-guided placement, followed by a diffusion model that jointly generates the object and an instance mask for high-fidelity blending. To facilitate standardized evaluation, we contribute the Touch2Add benchmark for this interactive task. Our extensive evaluations, where our placement model significantly outperforms both random placement and general-purpose VLM baselines, confirm the framework's ability to produce high-fidelity edits. Furthermore, our analysis reveals a strong correlation between initial placement accuracy and final edit quality, validating our decoupled approach. This work thus paves the way for more accessible and efficient creative tools.

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Kunal Swami, Raghu Chittersu, Yuvraj Rathore, Rajeev Irny, Shashavali Doodekula, Alok Shukla. 2026-02-15. AbracADDbra: Touch-Guided Object Addition by Decoupling Placement and Editing Subtasks. https://arxiv.org/abs/2602.14237

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