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Found 3 papers, 0 papers with code
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else
To achieve this goal, we identify the limitations in the text embeddings used for the pre-trained text-to-image diffusion models.
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style
Diffusion models have demonstrated impressive capability of text-conditioned image synthesis, and broader application horizons are emerging by personalizing those pretrained diffusion models toward generating some specialized target object or style.
C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection
Deep learning solutions of the salient object detection problem have achieved great results in recent years.
Ranked #1 on
RGB Salient Object Detection
on PASCAL-S
(mean E-Measure metric)
