Search Results for author:
Found 5 papers, 2 papers with code
DeblurGS: Gaussian Splatting for Camera Motion Blur
Although significant progress has been made in reconstructing sharp 3D scenes from motion-blurred images, a transition to real-world applications remains challenging.
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images
We minimize the photo-consistency loss on blurred image space and obtain the sharp radiance fields with camera trajectories that explain the blur of all images.
DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical Representations
More specifically, after pre-training one of state-of-the-art vision-based models as our backbone network, we re-train our augmented model, consisting of the vision-based model and the multilayer perceptron (MLP) architecture.
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.
Joint Blind Motion Deblurring and Depth Estimation of Light Field
Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem.
