5 papers
Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
Woojung Han, Seil Kang, Youngjun Jun +3
Image-to-Video diffusion models leverage input images to generate visually stunning content, yet frequently produce motion that violates physical laws. We reveal a surprising findi…
MaCo-GAN: Manifold-Contrastive Adversarial Learning for Single Image Super-Resolution
Daeyoung Han, Seongmin Hwang, Moongu Jeon
Conventional Generative Adversarial Networks (GANs) for Single Image Super-Resolution (SISR) often struggle with hallucinated artifacts, largely because standard discriminators eva…
DG-DETR: Toward Domain Generalized Detection Transformer
Seongmin Hwang, Daeyoung Han, Moongu Jeon
End-to-end Transformer-based detectors (DETRs) have demonstrated strong detection performance. However, domain generalization (DG) research has primarily focused on convolutional n…
Multispectral Detection Transformer with Infrared-Centric Feature Fusion
Seongmin Hwang, Daeyoung Han, Moongu Jeon
Multispectral object detection aims to leverage complementary information from visible (RGB) and infrared (IR) modalities to enable robust performance under diverse environmental c…
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
Seongmin Hwang, Daeyoung Han, Cheolkon Jung +1
The surge in interest regarding image dehazing has led to notable advancements in deep learning-based single image dehazing approaches, exhibiting impressive performance in recent…