Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

In this paper, we propose a long-sequence modeling framework, named StreamPETR, for
multi-view 3D object detection. Built upon the sparse query design in the PETR series, we …

Generative adversarial networks (GANs), a novel framework for training generative models
in an adversarial setup, have attracted significant attention in recent years. The two …

Generative Artificial Intelligence: Trends and Prospects Toggle navigation IEEE Computer
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AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …

The Metaverse allows the integration of physical and digital versions of users, processes,
and environments where entities communicate, transact, and socialize. With the shift …

Remarkable achievements have been attained with Generative Adversarial Networks
(GANs) in image-to-image translation. However, due to a tremendous amount of parameters …

Since Facebook was renamed Meta, a lot of attention, debate, and exploration have
intensified about what the Metaverse is, how it works, and the possible ways to exploit it. It is …

As GAN-based video and image manipulation technologies become more sophisticated and
easily accessible, there is an urgent need for effective deepfake detection technologies …

Diffusion models recently have been successfully applied for the visual synthesis of
strikingly realistic appearing images. This raises strong concerns about their potential for …