output
19932026
most citedFirst M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole

4.3k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2026 · cs.CVShow all

7 papers · 2 filters

cs.CV2026

Unified Multi-plane Autoregressive Diffusion for 3D Multi-contrast MRI Synthesis

Yejee Shin, Geonhui Son, Jinglu Wang +3

Acquiring a complete set of magnetic resonance imaging (MRI) contrasts is time-intensive and uncomfortable for patients, despite the diagnostic value of multi-contrast imaging. Thi…

cs.CV2026

Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning

Jihun Kim, Kyeonghun Kim, Jong-yeol Lee +2

Early detection of dental caries remains challenging due to limitations in traditional diagnostic methods, particularly for proximal lesions in posterior teeth. Deep learning model…

cs.CV2026

Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images

Juheon Hwang, Taewan Kim, Heeseok Oh +1

We propose a convolutional neural shading (CNS), a novel pipeline to reconstruct high-quality 3D shapes from multi-view images. Several recent studies have used neural radiance fie…

cs.CV2026

Collaborative Feature Aggregation for Face Super-Resolution and Robust Re-Identification

Juheon Hwang, Taewan Kim, Jiwoo Kang

We propose a novel collaborative approach for face super-resolution (SR) and robust person re-identification from sequential or multi-view facial images. Traditional SR methods oft…

cs.CV2026

DipGuava: Disentangling Personalized Gaussian Features for 3D Head Avatars from Monocular Video

Jeonghaeng Lee, Seok Keun Choi, Zhixuan Li +2

While recent 3D head avatar creation methods attempt to animate facial dynamics, they often fail to capture personalized details, limiting realism and expressiveness. To fill this…

cs.CV2026

HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency

Geonhui Son, Jeong Ryong Lee, Dosik Hwang

Generative Adversarial Networks (GANs) have made significant progress in enhancing the quality of image synthesis. Recent methods frequently leverage pretrained networks to calcula…

cs.CV2026

Detail Loss in Super-Resolution Models Based on the Laplacian Pyramid and Repeated Upscaling and Downscaling Process

Sangjun Han, Youngmi Hur

With advances in artificial intelligence, image processing has gained significant interest. Image super-resolution is a vital technology closely related to real-world applications,…