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Found 6 papers, 6 papers with code
Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation
In this paper, we explore this objective and propose LaVi-Bridge, a pipeline that enables the integration of diverse pre-trained language models and generative vision models for text-to-image generation.
ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation
Personalized text-to-image generation using diffusion models has recently emerged and garnered significant interest.
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Text-to-Image diffusion models have made tremendous progress over the past two years, enabling the generation of highly realistic images based on open-domain text descriptions.
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
GCD considers the open-world problem of automatically clustering a partially labelled dataset, in which the unlabelled data may contain instances from both novel categories and labelled classes.
Learning Attention as Disentangler for Compositional Zero-shot Learning
The key to CZSL is learning the disentanglement of the attribute-object composition.
A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification
We introduce rectification blocks to rectify features extracted by a state-of-the-art recognition model, in both spatial and channel dimensions, to minimize the distance between a masked face and its mask-free counterpart in the rectified feature space.
