Presentation

ASSET: Autoregressive Semantic Scene Editing With Transformers at High Resolutions
Event Type
Technical Paper
Interest Areas
Research & Education
Presentation Types
Virtual
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DescriptionWe present ASSET, a transformer architecture able to produce state-of-the-art results in image editing at high resolutions. The key idea of ASSET is a novel attention mechanism that efficiently captures long-range interactions important for realistic image synthesis. We present qualitative and quantitative results, along with user studies, demonstrating ASSET's effectiveness.