Timeline and boundary guided diffusion network for video shadow detection
Video Shadow Detection (VSD) aims to detect the shadow masks with frame sequence.
Existing works suffer from inefficient temporal learning. Moreover, few works address the …
Existing works suffer from inefficient temporal learning. Moreover, few works address the …
Unveiling deep shadows: A survey on image and video shadow detection, removal, and generation in the era of deep learning
Shadows are formed when light encounters obstacles, leading to areas of diminished
illumination. In computer vision, shadow detection, removal, and generation are crucial for …
illumination. In computer vision, shadow detection, removal, and generation are crucial for …
Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network
Fundus imaging is a pivotal tool in ophthalmology, and different imaging modalities are
characterized by their specific advantages. For example, Fundus Fluorescein Angiography …
characterized by their specific advantages. For example, Fundus Fluorescein Angiography …
DBD-Diff: Defocus Blur Detection Using Semantic and Texture Correlation Guided Diffusion Model
Defocus blur detection (DBD) is essential in computer vision as it facilitates the precise
identification and detection of in-focus regions within images. However, recent methods may …
identification and detection of in-focus regions within images. However, recent methods may …