2 papers
cs.CV2026
Free-Range Gaussians: Non-Grid-Aligned Generative 3D Gaussian Reconstruction
Ahan Shabanov, Peter Hedman, Ethan Weber +10
We present Free-Range Gaussians, a multi-view reconstruction method that predicts non-pixel, non-voxel-aligned 3D Gaussians from as few as four images. This is done through flow ma…
cs.CV2022
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation
Gyeongmin Choe, Beibei Du, Seonghyeon Nam +3
For low-level computer vision and image processing ML tasks, training on large datasets is critical for generalization. However, the standard practice of relying on real-world imag…