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SIGMA-GEN: Placing any subject, anywhere, exactly where you want it 

SIGMA-GEN is an experimental unified framework from Adobe Research, presented at ICLR 2026, for multi-identity-preserving image generation — placing multiple subjects into a scene in a single pass, with each subject's appearance faithfully preserved. 

Adobe Research shares an early glimpse at NeurIPS 2025 Papers

Adobe Research’s NeurIPS 2025 contributions explore new territory in machine learning and AI, including layered image generation, design-aware templates, and subject-driven video models. This teaser highlights a few papers shaping the future of creativity.

Adobe Researchers are discovering the hidden knowledge inside AI image generation models 

Ever wonder why AI image generators produce the specific results they do? In this work, Adobe researchers explore ways to map the visual knowledge hidden inside diffusion models – and use it to give users more control over the output.
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