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Found 4 papers, 2 papers with code
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video
Specifically, our framework simultaneously adopts DINO's features to fit to the motion observations of the test video, while training a tracker that directly leverages the refined features.
Disentangling Structure and Appearance in ViT Feature Space
Specifically, our goal is to generate an image in which objects in a source structure image are "painted" with the visual appearance of their semantically related objects in a target appearance image.
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Large-scale text-to-image generative models have been a revolutionary breakthrough in the evolution of generative AI, allowing us to synthesize diverse images that convey highly complex visual concepts.
Ranked #10 on
Text-based Image Editing
on PIE-Bench
Splicing ViT Features for Semantic Appearance Transfer
Specifically, our goal is to generate an image in which objects in a source structure image are "painted" with the visual appearance of their semantically related objects in a target appearance image.
