Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

In2Out - Video Outpainting Using Discriminator Loss Design

SK AI SUMMIT 2024 via YouTube

Overview

Watch a technical conference presentation from SK TECH SUMMIT 2023 where KAIST Computer Science students Minji Lee and Sangwoo Yoon share their research on developing a novel Discriminator Loss for video outpainting. Learn about their innovative approach to expanding video content beyond original boundaries through their project "In2Out" as part of the SKT AI Fellowship program. Gain insights into cutting-edge AI technology applications in video processing during this 18-minute talk from South Korea's largest technology conference, which showcases how today's technological innovations are shaping a more convenient and secure future.

Syllabus

[SK TECH SUMMIT 2023] SKT AI Fellowship 5기: In2Out, 비디오 outpainting을 위한 Discriminator Loss 고안

Taught by

SK AI SUMMIT 2024

Reviews

Start your review of In2Out - Video Outpainting Using Discriminator Loss Design

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.