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20162024
most citedDeep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis

173 citations · 192 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation

Kihong Kim, Haneol Lee, Jihye Park +4

Generating high-quality videos that synthesize desired realistic content is a challenging task due to their intricate high-dimensionality and complexity of videos. Several recent d…

cs.CV2024

STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models

Pum Jun Kim, Seojun Kim, Jaejun Yoo

Image generative models have made significant progress in generating realistic and diverse images, supported by comprehensive guidance from various evaluation metrics. However, cur…

cs.CV202419 cited

Bridging the Domain Gap: A Simple Domain Matching Method for Reference-based Image Super-Resolution in Remote Sensing

Jeongho Min, Yejun Lee, Dongyoung Kim +1

Recently, reference-based image super-resolution (RefSR) has shown excellent performance in image super-resolution (SR) tasks. The main idea of RefSR is to utilize additional infor…

cs.CV2023

RADIO: Reference-Agnostic Dubbing Video Synthesis

Dongyeun Lee, Chaewon Kim, Sangjoon Yu +2

One of the most challenging problems in audio-driven talking head generation is achieving high-fidelity detail while ensuring precise synchronization. Given only a single reference…

cs.CV2023

Fix the Noise: Disentangling Source Feature for Controllable Domain Translation

Dongyeun Lee, Jae Young Lee, Doyeon Kim +3

Recent studies show strong generative performance in domain translation especially by using transfer learning techniques on the unconditional generator. However, the control betwee…

cs.CV2016173 cited

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis

Yo Seob Han, Jaejun Yoo, Jong Chul Ye

Recently, compressed sensing (CS) computed tomography (CT) using sparse projection views has been extensively investigated to reduce the potential risk of radiation to patient. How…