Search Results for author:
Found 3 papers, 1 papers with code
Learning Disentangled Prompts for Compositional Image Synthesis
We study domain-adaptive image synthesis, the problem of teaching pretrained image generative models a new style or concept from as few as one image to synthesize novel images, to better understand the compositional image synthesis.
Visual Prompt Tuning for Generative Transfer Learning
We base our framework on state-of-the-art generative vision transformers that represent an image as a sequence of visual tokens to the autoregressive or non-autoregressive transformers.
Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation
Ordinal regression aims to classify instances into ordinal categories.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
