BAD-Gaussians
The BAD-Gaussians project leverages the nerfstudio framework to implement Gaussian-based methods for effective deblurring and novel-view synthesis of motion-blurred images. This approach optimizes the Deblur-NeRF datasets by enhancing clarity and rendering quality through robust Gaussian splatting techniques. It supports both synthetic and real-world data processing with adjustable parameters for camera pose interpolation and image scaling, offering comprehensive instructions for installation, dataset setup, training, video rendering, and 3D Gaussian export. This makes it a valuable resource for researchers and developers in the fields of image processing and computer vision.
