1 citations · 1 across the 5 of their papers we have counts for
7 papers
Exploiting Time-Frequency Conformers for Music Audio Enhancement
Yunkee Chae, Junghyun Koo, Sungho Lee +1
With the proliferation of video platforms on the internet, recording musical performances by mobile devices has become commonplace. However, these recordings often suffer from degr…
Blind Estimation of Audio Processing Graph
Sungho Lee, Jaehyun Park, Seungryeol Paik +1
Musicians and audio engineers sculpt and transform their sounds by connecting multiple processors, forming an audio processing graph. However, most deep-learning methods overlook t…
Global HRTF Interpolation via Learned Affine Transformation of Hyper-conditioned Features
Jin Woo Lee, Sungho Lee, Kyogu Lee
Estimating Head-Related Transfer Functions (HRTFs) of arbitrary source points is essential in immersive binaural audio rendering. Computing each individual's HRTFs is challenging,…
Enhanced Correlation Matching based Video Frame Interpolation
Sungho Lee, Narae Choi, Woong Il Choi
We propose a novel DNN based framework called the Enhanced Correlation Matching based Video Frame Interpolation Network to support high resolution like 4K, which has a large scale…
Differentiable Artificial Reverberation
Sungho Lee, Hyeong-Seok Choi, Kyogu Lee
Artificial reverberation (AR) models play a central role in various audio applications. Therefore, estimating the AR model parameters (ARPs) of a reference reverberation is a cruci…
Copy-and-Paste Networks for Deep Video Inpainting
Sungho Lee, Seoung Wug Oh, DaeYeun Won +1
We present a novel deep learning based algorithm for video inpainting. Video inpainting is a process of completing corrupted or missing regions in videos. Video inpainting has addi…
Onion-Peel Networks for Deep Video Completion
Seoung Wug Oh, Sungho Lee, Joon-Young Lee +1
We propose the onion-peel networks for video completion. Given a set of reference images and a target image with holes, our network fills the hole by referring the contents in the…