Image restoration is a critical task in low-level computer vision, aiming to restore high-quality
images from degraded inputs. Various models, such as convolutional neural networks …

Recently, using diffusion models for zero-shot image restoration (IR) has become a new hot
paradigm. This type of method only needs to use the pre-trained off-the-shelf diffusion …

Abstract 360deg omnidirectional images have gained research attention due to their
immersive and interactive experience, particularly in AR/VR applications. However, they …

Deepfake techniques can forge the visual or audio signals in the video, which leads to
inconsistencies between visual and audio (VA) signals. Therefore, multimodal detection …

By hiding the front-facing camera below the display panel, Under-Display Camera (UDC)
provides users with a full-screen experience. However, due to the characteristics of the …

Blind face restoration is an important task in computer vision and has gained significant
attention due to its wide-range applications. Previous works mainly exploit facial priors to …

Hyperspectral imaging represents a spectral technique that facilitates the non-destructive
detection of corn seeds. However, the application of deep learning techniques often …

Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos.
While this approach benefits from contactless interaction, it is reliant on videos of faces …

In this work, we are dedicated to text-guided image generation and propose a novel
framework, ie., CLIP2GAN, by leveraging CLIP model and StyleGAN. The key idea of our …

We introduce a novel Multi-modal Guided Real-World Face Restoration (MGFR) technique
designed to improve the quality of facial image restoration from low-quality inputs …