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.
no code implementations • ICCV 2023 • Chaeyeon Chung, Yeojeong Park, Seunghwan Choi, Munkhsoyol Ganbat, Jaegul Choo
Shourcut-V2V avoids full inference for every neighboring video frame by approximating the intermediate features of a current frame from those of the previous frame.
1 code implementation • 28 Jun 2022 • Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo
Image-based virtual try-on aims to synthesize an image of a person wearing a given clothing item.
Ranked #2 on Virtual Try-on on VITON-HD
no code implementations • 17 Jun 2022 • Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo
Hairstyle transfer is the task of modifying a source hairstyle to a target one.
no code implementations • 16 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.
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.
Ranked #3 on Virtual Try-on on VITON-HD
no code implementations • 9 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.
1 code implementation • ICLR 2019 • Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo
Recently, image-to-image translation has seen a significant success.