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20202026
most citedInstaFormer: Instance-Aware Image-to-Image Translation with Transformer

6 citations · 14 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Revealing Multi-View Hallucination in Large Vision-Language Models

Wooje Park, Insu Lee, Soohyun Kim +4

Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captured from diverse viewpoints. Despite this growing use, current LVLMs often gener…

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.CV20226 cited

InstaFormer: Instance-Aware Image-to-Image Translation with Transformer

Soohyun Kim, Jongbeom Baek, Jihye Park +2

We present a novel Transformer-based network architecture for instance-aware image-to-image translation, dubbed InstaFormer, to effectively integrate global- and instance-level inf…

cs.CV20222 cited

An Attention-based Method for Action Unit Detection at the 3rd ABAW Competition

Duy Le Hoai, Eunchae Lim, Eunbin Choi +5

Facial Action Coding System is an approach for modeling the complexity of human emotional expression. Automatic action unit (AU) detection is a crucial research area in human-compu…

cs.CV2022

Deep Translation Prior: Test-time Training for Photorealistic Style Transfer

Sunwoo Kim, Soohyun Kim, Seungryong Kim

Recent techniques to solve photorealistic style transfer within deep convolutional neural networks (CNNs) generally require intensive training from large-scale datasets, thus havin…

cs.CV20203 cited

Online Exemplar Fine-Tuning for Image-to-Image Translation

Taewon Kang, Soohyun Kim, Sunwoo Kim +1

Existing techniques to solve exemplar-based image-to-image translation within deep convolutional neural networks (CNNs) generally require a training phase to optimize the network p…