3 accepted papers
In this work, we propose aligning pretrained visual encoders to serve as tokenizers for latent diffusion models in image generation. Unlike training a variational autoencoder (VAE) from scratch, which primarily emphasizes low-level details, our approach leverages the rich semantic structure of found…
We present a method to generate full-body selfies from photographs originally taken at arms length. Because self-captured photos are typically taken close up they have limited field of view and exaggerated perspective that distorts facial shapes. We instead seek to generate the photo some one else w…
"Near-Periodic Patterns (NPP) are ubiquitous in man-made scenes and are composed of tiled motifs with appearance differences caused by lighting, defects, or design elements. A good NPP representation is useful for many applications including image completion, segmentation, and geometric remapping. B…