1 citations · 1 across the 6 of their papers we have counts for
8 papers
HNDiff: Haze-Noise Diffusion for Image Dehazing
Jin-Ting He, Fu-Jen Tsai, Yan-Tsung Peng +3
Existing diffusion-based methods have recently made significant progress in image dehazing. However, they typically neglect the physics of haze formation and reconstruct clean imag…
SAVe: Self-Supervised Audio-visual Deepfake Detection Exploiting Visual Artifacts and Audio-visual Misalignment
Sahibzada Adil Shahzad, Ammarah Hashmi, Junichi Yamagishi +5
Multimodal deepfakes can exhibit subtle visual artifacts and cross-modal inconsistencies, which remain challenging to detect, especially when detectors are trained primarily on cur…
BlurDM: A Blur Diffusion Model for Image Deblurring
Jin-Ting He, Fu-Jen Tsai, Yan-Tsung Peng +3
Diffusion models show promise for dynamic scene deblurring; however, existing studies often fail to leverage the intrinsic nature of the blurring process within diffusion models, l…
PHATNet: A Physics-guided Haze Transfer Network for Domain-adaptive Real-world Image Dehazing
Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin +1
Image dehazing aims to remove unwanted hazy artifacts in images. Although previous research has collected paired real-world hazy and haze-free images to improve dehazing models' pe…
Domain-adaptive Video Deblurring via Test-time Blurring
Jin-Ting He, Fu-Jen Tsai, Jia-Hao Wu +4
Dynamic scene video deblurring aims to remove undesirable blurry artifacts captured during the exposure process. Although previous video deblurring methods have achieved impressive…
Image Deraining via Self-supervised Reinforcement Learning
He-Hao Liao, Yan-Tsung Peng, Wen-Tao Chu +2
The quality of images captured outdoors is often affected by the weather. One factor that interferes with sight is rain, which can obstruct the view of observers and computer visio…
ViStripformer: A Token-Efficient Transformer for Versatile Video Restoration
Fu-Jen Tsai, Yan-Tsung Peng, Chen-Yu Chang +4
Video restoration is a low-level vision task that seeks to restore clean, sharp videos from quality-degraded frames. One would use the temporal information from adjacent frames to…
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
Jia-Hao Wu, Fu-Jen Tsai, Yan-Tsung Peng +3
Image deblurring aims to remove undesired blurs from an image captured in a dynamic scene. Much research has been dedicated to improving deblurring performance through model archit…