Recent advances in 3d gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …
3dgsr: Implicit surface reconstruction with 3d gaussian splatting
In this paper, we present an implicit surface reconstruction method with 3D Gaussian
Splatting (3DGS), namely 3DGSR, that allows for accurate 3D reconstruction with intricate …
Splatting (3DGS), namely 3DGSR, that allows for accurate 3D reconstruction with intricate …
Benchmarking neural radiance fields for autonomous robots: An overview
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes
Recently, 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis
results, while allowing the rendering of high-resolution images in real-time. However …
results, while allowing the rendering of high-resolution images in real-time. However …
latentsplat: Autoencoding variational gaussians for fast generalizable 3d reconstruction
We present latentSplat, a method to predict semantic Gaussians in a 3D latent space that
can be splatted and decoded by a light-weight generative 2D architecture. Existing methods …
can be splatted and decoded by a light-weight generative 2D architecture. Existing methods …
Lara: Efficient large-baseline radiance fields
Radiance field methods have achieved photorealistic novel view synthesis and geometry
reconstruction. But they are mostly applied in per-scene optimization or small-baseline …
reconstruction. But they are mostly applied in per-scene optimization or small-baseline …
Binary opacity grids: Capturing fine geometric detail for mesh-based view synthesis
While surface-based view synthesis algorithms are appealing due to their low computational
requirements, they often struggle to reproduce thin structures. In contrast, more expensive …
requirements, they often struggle to reproduce thin structures. In contrast, more expensive …
Stablenormal: Reducing diffusion variance for stable and sharp normal
This work addresses the challenge of high-quality surface normal estimation from monocular
colored inputs (ie, images and videos), a field which has recently been revolutionized by …
colored inputs (ie, images and videos), a field which has recently been revolutionized by …
Absgs: Recovering fine details in 3d gaussian splatting
3D Gaussian Splatting (3D-GS) technique couples 3D Gaussian primitives with
differentiable rasterization to achieve high-quality novel view synthesis results while …
differentiable rasterization to achieve high-quality novel view synthesis results while …
Lotus: Diffusion-based visual foundation model for high-quality dense prediction
Leveraging the visual priors of pre-trained text-to-image diffusion models offers a promising
solution to enhance zero-shot generalization in dense prediction tasks. However, existing …
solution to enhance zero-shot generalization in dense prediction tasks. However, existing …