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Found 6 papers, 1 papers with code
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
As recent advances in mobile camera technology have enabled the capability to capture high-resolution images, such as 4K images, the demand for an efficient deblurring model handling large motion has increased.
Information-Theoretic GAN Compression with Variational Energy-based Model
We propose an information-theoretic knowledge distillation approach for the compression of generative adversarial networks, which aims to maximize the mutual information between teacher and student networks via a variational optimization based on an energy-based model.
Exploring Positional Characteristics of Dual-Pixel Data for Camera Autofocus
We observe that, while these degradations are hard to model using prior knowledge, they are correlated with the spatial position of the pixels within the image sensor area, and we propose a learning-based autofocus model with positional encodings (PE) to capture these patterns.
Designing Phase Masks for Under-Display Cameras
Diffractive blur and low light levels are two fundamental challenges in producing high-quality photographs in under-display cameras (UDCs).
Controllable Image Restoration for Under-Display Camera in Smartphones
However, this causes inevitable image degradation in the form of spatially variant blur and noise because of the opaque display in front of the camera.
Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm Under Mixed Illumination
Images in our dataset are mostly captured with illuminants existing in the scene, and the ground truth illumination is computed by taking the difference between the images with different illumination combination.
