Search Results for author: Seunghwan Choi

Found 8 papers, 4 papers with code

Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis

1 code implementation ICCV 2023 Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo

Our experiments reveal that we can guide text-to-image generation models to be aware of the semantics of different image regions, by training the model to generate semantic labels for each pixel.

multimodal generation Multi-Task Learning +1

Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)

no code implementations16 Nov 2021 Taewon Kang, Sunghyun Park, Seunghwan Choi, Jaegul Choo

Image-based virtual try-on provides the capacity to transfer a clothing item onto a photo of a given person, which is usually accomplished by warping the item to a given human pose and adjusting the warped item to the person.

Data Augmentation Image Cropping +1

VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization

1 code implementation CVPR 2021 Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo

The task of image-based virtual try-on aims to transfer a target clothing item onto the corresponding region of a person, which is commonly tackled by fitting the item to the desired body part and fusing the warped item with the person.

Virtual Try-on Vocal Bursts Intensity Prediction

What and Where to Translate: Local Mask-based Image-to-Image Translation

no code implementations9 Jun 2019 Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo

First, those methods extract style from an entire exemplar which includes noisy information, which impedes a translation model from properly extracting the intended style of the exemplar.

Image-to-Image Translation Translation

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