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20192024
most citedDiffusion-driven GAN Inversion for Multi-Modal Face Image Generation

3 citations · 5 across the 5 of their papers we have counts for

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cs.CV20243 cited

Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation

Jihyun Kim, Changjae Oh, Hoseok Do +2

We present a new multi-modal face image generation method that converts a text prompt and a visual input, such as a semantic mask or scribble map, into a photo-realistic face image…

cs.CV2022

Boosting Video Object Segmentation based on Scale Inconsistency

Hengyi Wang, Changjae Oh

We present a refinement framework to boost the performance of pre-trained semi-supervised video object segmentation (VOS) models. Our work is based on scale inconsistency, which is…

cs.CV2022

Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings

Hengyi Wang, Chaoran Zhu, Ziyin Ma +1

We present methods to estimate the physical properties of household containers and their fillings manipulated by humans. We use a lightweight, pre-trained convolutional neural netw…

cs.CV2022

A Wavelet-based Dual-stream Network for Underwater Image Enhancement

Ziyin Ma, Changjae Oh

We present a wavelet-based dual-stream network that addresses color cast and blurry details in underwater images. We handle these artifacts separately by decomposing an input image…

cs.CV20212 cited

Wide and Narrow: Video Prediction from Context and Motion

Jaehoon Cho, Jiyoung Lee, Changjae Oh +2

Video prediction, forecasting the future frames from a sequence of input frames, is a challenging task since the view changes are influenced by various factors, such as the global…