Search Results for author:
Found 8 papers, 5 papers with code
Transferring Visual Attributes from Natural Language to Verified Image Generation
In this paper, we propose to strengthen the consistency property of T2I methods in the presence of natural complex language, which often breaks the limits of T2I methods by including non-visual information, and textual elements that require knowledge for accurate generation.
What You See is What You Read? Improving Text-Image Alignment Evaluation
Automatically determining whether a text and a corresponding image are semantically aligned is a significant challenge for vision-language models, with applications in generative text-to-image and image-to-text tasks.
Ranked #11 on
Visual Reasoning
on Winoground
MaXM: Towards Multilingual Visual Question Answering
In this paper, we propose scalable solutions to multilingual visual question answering (mVQA), on both data and modeling fronts.
MyStyle: A Personalized Generative Prior
Given a small reference set of portrait images of a person (~100), we tune the weights of a pretrained StyleGAN face generator to form a local, low-dimensional, personalized manifold in the latent space.
Self-Distilled StyleGAN: Towards Generation from Internet Photos
To meet these challenges, we proposed a StyleGAN-based self-distillation approach, which consists of two main components: (i) A generative-based self-filtering of the dataset to eliminate outlier images, in order to generate an adequate training set, and (ii) Perceptual clustering of the generated images to detect the inherent data modalities, which are then employed to improve StyleGAN's "truncation trick" in the image synthesis process.
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
A natural source for such attributes is the StyleSpace of StyleGAN, which is known to generate semantically meaningful dimensions in the image.
Semantic Pyramid for Image Generation
We demonstrate that our model results in a versatile and flexible framework that can be used in various classic and novel image generation tasks.
Temporal-Needle: A view and appearance invariant video descriptor
However, to find similar actions across videos, we consider only a small subset of the descriptors - the statistical significant descriptors.
