Presentation

Analogist: Out-of-the-box Visual In-context Learning With Image Diffusion Model
DescriptionAnalogist is a novel visual In-context Learning approach combining visual and textual prompts with a diffusion model. It introduces self-attention cloning and cross-attention masking to enhance analogy accuracy, offering a flexible, out-of-the-box solution that outperforms existing methods without needing fine-tuning or optimization.
Event Type
Technical Paper
TimeWednesday, 31 July 20244:25pm - 4:35pm MDT
LocationMile High 3C
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Wednesday, 31 July 20243:45pm - 5:15pm MDTMile High 3C
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Registration Categories
Full Conference
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Virtual Access
Exhibitor Full Conference
Wednesday