Tuesday, July 15, 2025
LBNN
  • Business
  • Markets
  • Politics
  • Crypto
  • Finance
  • Energy
  • Technology
  • Taxes
  • Creator Economy
  • Wealth Management
  • Documentaries
No Result
View All Result
LBNN

From lightweight AI to design automation, researchers introduce advances in AI technology

Simon Osuji by Simon Osuji
October 29, 2024
in Artificial Intelligence
0
From lightweight AI to design automation, researchers introduce advances in AI technology
0
SHARES
0
VIEWS
Share on FacebookShare on Twitter


Breakthroughs in AI technology: From lightweight AI to design automation
Schematic overview of the two innovative techniques, DiME and NICKEL. Credit: arXiv (2024). DOI: 10.48550/arxiv.2405.11614

Professor Jaejun Yoo and his research team from the Graduate School of Artificial Intelligence at UNIST recently presented their pioneering work on the future of artificial intelligence (AI) technology at the European Conference on Computer Vision (ECCV 2024).

Related posts

Tesla Robotaxis Face Fierce Competition from China

Tesla Robotaxis Face Fierce Competition from China

July 15, 2025
6 Best Android Tablets (2025), Tested and Reviewed

6 Best Android Tablets (2025), Tested and Reviewed

July 15, 2025

ECCV serves as a gathering place for researchers from around the world to share their research results, exchange information, and discuss the future of computer vision industries and technologies. At this forum, the team showcased three significant research papers that highlight innovative achievements in enhancing AI performance, reducing model sizes, and automating design processes using multimodal AI techniques.

One of the major accomplishments involves the compression of generative adversarial networks (GANs) for image generation by an astounding factor of 323, all while maintaining performance quality. By employing knowledge distillation techniques, the researchers demonstrated the potential for efficient AI utilization even on edge devices or low-power computers, eliminating the need for high-performance computing resources.

Professor Yoo remarked, “Our research has proven that a GAN compressed by 323 times smaller can still generate high-quality images comparable to existing models. This breakthrough paves the way for deploying high-performance AI in edge computing environments and on low-power devices.”

Yeo Sang-yeop, first author of the study “Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation,” posted to the arXiv preprint server, added, “We aim to significantly broaden the scope of AI applications by enabling the implementation of high-performance AI capabilities with limited resources.”

The team introduced two innovative techniques, the Distribution Matching for Efficient compression (DiME) and the Network Interactive Compression via Knowledge Exchange and Learning (NICKEL), designed to enhance model stability by comparing distributions rather than evaluating images individually.

The NICKEL approach optimizes the interaction between the generator and the classifier, enabling the maintenance of high performance in a lightweight model. The combination of these techniques allowed the compressed GAN model to continue producing high-quality images similar to those generated by larger counterparts.

In another significant advancement, Professor Yoo and his team developed a hybrid video generation model, HVDM, capable of efficiently producing high-resolution videos even in environments with limited computational resources. By integrating a 2D triple-lane representation with a 3D wavelet transformation, HVDM adeptly processes both global context and intricate details within images. This paper is also posted to the arXiv preprint server.

Breakthroughs in AI technology: From lightweight AI to design automation
Visualization of 3D wavelet transform. The volume of video is decomposed into eight subband (xlll, . . . , xhhh) including low and high frequency components. Credit: arXiv (2024). DOI: 10.48550/arxiv.2402.13729

While existing video generation models have relied heavily on high-performance computing resources, HVDM successfully implements natural, high-quality images, overcoming the limitations associated with traditional CNN-based autoencoder methods.

The researchers validated HVDM’s superiority through rigorous testing on benchmark video datasets, including UCF-101, SkyTimelapse, and Tai Chi, where HVDM consistently demonstrated higher quality videos and realistic details.

Professor Yoo emphasized, “HVDM represents a transformative model that can efficiently generate high-resolution videos, even in resource-constrained environments, with applications extending widely across industries such as video production and simulation.”

In a third paper also posted to arXiv, the research team also introduced a multi-modal layout generation model designed to automate the production of advertising banners and web UI layouts with minimal data input. This model processes images and text simultaneously, generating appropriate layouts based solely on user input.

Breakthroughs in AI technology: From lightweight AI to design automation
The overall training step of PosterLlama. Credit: arXiv (2024). DOI: 10.48550/arxiv.2404.00995

Previous models have struggled to adequately integrate text and visual information due to limited data resources. The new model addresses this limitation, significantly enhancing the practicality of advertising design and web UI creation. By maximizing the interaction between text and images, it automatically produces optimized designs that seamlessly reflect both visual and textual elements.

To enable this functionality, the team transformed layout information into HTML code. Leveraging extensive pre-training data from language models, they established an automated generation pipeline that yields exceptional results, even with sparse datasets. Benchmark evaluations revealed performance improvements of up to 2,800% compared to existing methodologies.

In the pre-training process, the team utilized the image caption dataset, combining depth-map and ControlNet techniques to enhance performance through data augmentation. This approach significantly improved the quality of layout generation and created natural designs by reducing potential distortions that may occur during data preprocessing.

“Our model outperforms existing solutions that require over 60,000 data points, showing effective results with as few as 5,000 samples,” noted Professor Yoo. “This innovation is accessible not only to experts but also to everyday users, signaling significant advancements in the automation of advertising banners and web UI design.”

More information:
Sangyeop Yeo et al, Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation, arXiv (2024). DOI: 10.48550/arxiv.2405.11614

Kihong Kim et al, Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation, arXiv (2024). DOI: 10.48550/arxiv.2402.13729

Jaejung Seol et al, PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation, arXiv (2024). DOI: 10.48550/arxiv.2404.00995

Journal information:
arXiv

Provided by
UNIST

Citation:
From lightweight AI to design automation, researchers introduce advances in AI technology (2024, October 28)
retrieved 28 October 2024
from https://techxplore.com/news/2024-10-lightweight-ai-automation-advances-technology.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.





Source link

Previous Post

Israel to Spend $530M on ‘Iron Beam’ Laser Defense

Next Post

Apple (AAPL) Competes With Nvidia (NVDA) in AI Tech Showdown

Next Post
Apple (AAPL) Competes With Nvidia (NVDA) in AI Tech Showdown

Apple (AAPL) Competes With Nvidia (NVDA) in AI Tech Showdown

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

RECOMMENDED NEWS

Trump Urges 60-Day Gaza Ceasefire Deal

Trump Urges 60-Day Gaza Ceasefire Deal

2 weeks ago
Jenny Saville and Edvard Munch headline 2025 programme at London’s National Portrait Gallery

Jenny Saville and Edvard Munch headline 2025 programme at London’s National Portrait Gallery

9 months ago
Will Bitcoin’s price bear the brunt of Mt. Gox’s repayment plan?

Will Bitcoin’s price bear the brunt of Mt. Gox’s repayment plan?

1 year ago
Muddied GDP report leaves investors with little clarity about economic risk

Muddied GDP report leaves investors with little clarity about economic risk

3 months ago

POPULAR NEWS

  • Ghana to build three oil refineries, five petrochemical plants in energy sector overhaul

    Ghana to build three oil refineries, five petrochemical plants in energy sector overhaul

    0 shares
    Share 0 Tweet 0
  • When Will SHIB Reach $1? Here’s What ChatGPT Says

    0 shares
    Share 0 Tweet 0
  • The world’s top 10 most valuable car brands in 2025

    0 shares
    Share 0 Tweet 0
  • Top 10 African countries with the highest GDP per capita in 2025

    0 shares
    Share 0 Tweet 0
  • Global ranking of Top 5 smartphone brands in Q3, 2024

    0 shares
    Share 0 Tweet 0
  • Privacy Policy
  • Contact

© 2023 LBNN - All rights reserved.

No Result
View All Result
  • Home
  • Business
  • Politics
  • Markets
  • Crypto
  • Economics
    • Manufacturing
    • Real Estate
    • Infrastructure
  • Finance
  • Energy
  • Creator Economy
  • Wealth Management
  • Taxes
  • Telecoms
  • Military & Defense
  • Careers
  • Technology
  • Artificial Intelligence
  • Investigative journalism
  • Art & Culture
  • Documentaries
  • Quizzes
    • Enneagram quiz
  • Newsletters
    • LBNN Newsletter
    • Divergent Capitalist

© 2023 LBNN - All rights reserved.