State of the art on neural rendering
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
Exploring object-centric temporal modeling for efficient multi-view 3d object detection
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 …
multi-view 3D object detection. Built upon the sparse query design in the PETR series, we …
On the opportunities and risks of foundation models
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 …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
Generative artificial intelligence: Trends and prospects
M Jovanovic, M Campbell - Computer, 2022 - computer.org
Generative Artificial Intelligence: Trends and Prospects Toggle navigation IEEE Computer Society
Digital Library Jobs Tech News Resource Center Press Room Advertising About Us IEEE IEEE …
Digital Library Jobs Tech News Resource Center Press Room Advertising About Us IEEE IEEE …
Neural style transfer: A critical review
A Singh, V Jaiswal, G Joshi, A Sanjeeve, S Gite… - IEEE …, 2021 - ieeexplore.ieee.org
Neural Style Transfer (NST) is a class of software algorithms that allows us to transform
scenes, change/edit the environment of a media with the help of a Neural Network. NST …
scenes, change/edit the environment of a media with the help of a Neural Network. NST …
Towards future internet: The metaverse perspective for diverse industrial applications
The Metaverse allows the integration of physical and digital versions of users, processes,
and environments where entities communicate, transact, and socialize. With the shift …
and environments where entities communicate, transact, and socialize. With the shift …
Wavelet knowledge distillation: Towards efficient image-to-image translation
Remarkable achievements have been attained with Generative Adversarial Networks
(GANs) in image-to-image translation. However, due to a tremendous amount of parameters …
(GANs) in image-to-image translation. However, due to a tremendous amount of parameters …
Fretal: Generalizing deepfake detection using knowledge distillation and representation learning
As GAN-based video and image manipulation technologies become more sophisticated and
easily accessible, there is an urgent need for effective deepfake detection technologies …
easily accessible, there is an urgent need for effective deepfake detection technologies …
Detecting images generated by deep diffusion models using their local intrinsic dimensionality
P Lorenz, RL Durall, J Keuper - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Diffusion models recently have been successfully applied for the visual synthesis of
strikingly realistic appearing images. This raises strong concerns about their potential for …
strikingly realistic appearing images. This raises strong concerns about their potential for …
Sketchformer: Transformer-based representation for sketched structure
Sketchformer is a novel transformer-based representation for encoding free-hand sketches
input in a vector form, ie as a sequence of strokes. Sketchformer effectively addresses …
input in a vector form, ie as a sequence of strokes. Sketchformer effectively addresses …