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Found 5 papers, 1 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.
Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images
In this paper, we present a method to optimize Gaussian splatting with a limited number of images while avoiding overfitting.
LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
Specifically, we project a portion of point cloud to the desired view and provide the projection as a guidance for inpainting using the generative model.
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields
Under such incremental learning scenarios, neural networks are known to suffer catastrophic forgetting: easily forgetting previously seen data after training with new data.
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces
Our experiments demonstrate the superiorities of our method in terms of representation power compared to the state-of-the-art methods in single RGB image 3D shape reconstruction.
