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20212024
most citedCost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

10 citations · 58 across the 29 of their papers we have counts for

collaborators

19 papers

cs.CV20231 cited

User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques

Sunwoo Kim, Wooseok Jang, Hyunsu Kim +4

Recent text-driven image editing in diffusion models has shown remarkable success. However, the existing methods assume that the user's description sufficiently grounds the context…

cs.CV2023

Panoramic Image-to-Image Translation

Soohyun Kim, Junho Kim, Taekyung Kim +4

In this paper, we tackle the challenging task of Panoramic Image-to-Image translation (Pano-I2I) for the first time. This task is difficult due to the geometric distortion of panor…

cs.CV20234 cited

PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification

Minsu Kim, Seungryong Kim, JungIn Park +2

Modern data augmentation using a mixture-based technique can regularize the models from overfitting to the training data in various computer vision applications, but a proper data…

cs.CV20234 cited

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models

Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee +3

Generative models have recently undergone significant advancement due to the diffusion models. The success of these models can be often attributed to their use of guidance techniqu…

cs.CV20222 cited

Controllable Style Transfer via Test-time Training of Implicit Neural Representation

Sunwoo Kim, Youngjo Min, Younghun Jung +1

We propose a controllable style transfer framework based on Implicit Neural Representation that pixel-wisely controls the stylized output via test-time training. Unlike traditional…

cs.CV2022

3D GAN Inversion with Pose Optimization

Jaehoon Ko, Kyusun Cho, Daewon Choi +2

With the recent advances in NeRF-based 3D aware GANs quality, projecting an image into the latent space of these 3D-aware GANs has a natural advantage over 2D GAN inversion: not on…