State of the art on neural rendering

A Tewari, O Fried, J Thies, V Sitzmann… - Computer Graphics …, 2020 - Wiley Online Library
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

Exploring object-centric temporal modeling for efficient multi-view 3d object detection

S Wang, Y Liu, T Wang, Y Li… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
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 …

On the opportunities and risks of foundation models

R Bommasani, DA Hudson, E Adeli, R Altman… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

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 …

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 …

Towards future internet: The metaverse perspective for diverse industrial applications

P Bhattacharya, D Saraswat, D Savaliya, S Sanghavi… - Mathematics, 2023 - mdpi.com
The Metaverse allows the integration of physical and digital versions of users, processes,
and environments where entities communicate, transact, and socialize. With the shift …

Wavelet knowledge distillation: Towards efficient image-to-image translation

L Zhang, X Chen, X Tu, P Wan… - Proceedings of the …, 2022 - openaccess.thecvf.com
Remarkable achievements have been attained with Generative Adversarial Networks
(GANs) in image-to-image translation. However, due to a tremendous amount of parameters …

Fretal: Generalizing deepfake detection using knowledge distillation and representation learning

M Kim, S Tariq, SS Woo - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
As GAN-based video and image manipulation technologies become more sophisticated and
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 …

Sketchformer: Transformer-based representation for sketched structure

LSF Ribeiro, T Bui, J Collomosse… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …