Abstract We introduce the Segment Anything (SA) project: a new task, model, and dataset for
image segmentation. Using our efficient model in a data collection loop, we built the largest …

In-context vision and language models like Flamingo support arbitrarily interleaved
sequences of images and text as input. This format not only enables few-shot learning via …

The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …

Facial attribute analysis from facial images has always been a challenging task. Its practical
use cases are very different. This paper mentioned how to build machine learning models …

What is really needed to make an existing 2D GAN 3D-aware? To answer this question, we
modify a classical GAN, ie., StyleGANv2, as little as possible. We find that only two …

Face super-resolution (FSR) aims to reconstruct high-resolution (HR) face images from the
low-resolution (LR) ones. With the advent of deep learning, the FSR technique has achieved …

Customization techniques for text-to-image models have paved the way for a wide range of
previously unattainable applications enabling the generation of specific concepts across …

This paper introduces a novel dataset to help researchers evaluate their computer vision
and audio models for accuracy across a diverse set of age, genders, apparent skin tones …

Recent research has shown that it is possible to find interpretable directions in the latent
spaces of pre-trained Generative Adversarial Networks (GANs). These directions enable …

Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …