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Found 4 papers, 1 papers with code
DistGrid: Scalable Scene Reconstruction with Distributed Multi-resolution Hash Grid
The scalability of our method on reconstruction quality is further evaluated qualitatively and quantitatively.
AbsGS: Recovering Fine Details for 3D Gaussian Splatting
In this work, we present a comprehensive analysis of the cause of aforementioned artifacts, namely gradient collision, which prevents large Gaussians in over-reconstructed regions from splitting.
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration
It provides a promising way to introduce the Transformer in low-level vision tasks.
Multi-Outputs Is All You Need For Deblur
Therefore, we propose to make the network learn the distribution of feasible solutions, and design based on this consideration a novel multi-head output architecture and corresponding loss function for distribution learning.
Ranked #6 on
Image Deblurring
on GoPro
