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A survey on 3d gaussian splatting
3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm
of explicit radiance field and computer graphics. This innovative approach, characterized by …
of explicit radiance field and computer graphics. This innovative approach, characterized by …
Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images
We introduce MVSplat, an efficient model that, given sparse multi-view images as input,
predicts clean feed-forward 3D Gaussians. To accurately localize the Gaussian centers, we …
predicts clean feed-forward 3D Gaussians. To accurately localize the Gaussian centers, we …
Mvsplat360: Feed-forward 360 scene synthesis from sparse views
We introduce MVSplat360, a feed-forward approach for 360 novel view synthesis (NVS) of
diverse real-world scenes, using only sparse observations. This setting is inherently ill …
diverse real-world scenes, using only sparse observations. This setting is inherently ill …
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes
Abstract Empowering 3D Gaussian Splatting with generalization ability is appealing.
However, existing generalizable 3D Gaussian Splatting methods are largely confined to …
However, existing generalizable 3D Gaussian Splatting methods are largely confined to …
Flowmap: High-quality camera poses, intrinsics, and depth via gradient descent
This paper introduces FlowMap, an end-to-end differentiable method that solves for precise
camera poses, camera intrinsics, and per-frame dense depth of a video sequence. Our …
camera poses, camera intrinsics, and per-frame dense depth of a video sequence. Our …
Splatt3r: Zero-shot gaussian splatting from uncalibrated image pairs
In this paper, we introduce Splatt3R, a pose-free, feed-forward method for in-the-wild 3D
reconstruction and novel view synthesis from stereo pairs. Given uncalibrated natural …
reconstruction and novel view synthesis from stereo pairs. Given uncalibrated natural …
L3dg: Latent 3d gaussian diffusion
We propose L3DG, the first approach for generative 3D modeling of 3D Gaussians through a
latent 3D Gaussian diffusion formulation. This enables effective generative 3D modeling …
latent 3D Gaussian diffusion formulation. This enables effective generative 3D modeling …
Depthsplat: Connecting gaussian splatting and depth
Gaussian splatting and single/multi-view depth estimation are typically studied in isolation.
In this paper, we present DepthSplat to connect Gaussian splatting and depth estimation …
In this paper, we present DepthSplat to connect Gaussian splatting and depth estimation …
AIM 2024 sparse neural rendering challenge: Dataset and benchmark
Recent developments in differentiable and neural rendering have made impressive
breakthroughs in a variety of 2D and 3D tasks, eg novel view synthesis, 3D reconstruction …
breakthroughs in a variety of 2D and 3D tasks, eg novel view synthesis, 3D reconstruction …
Gghead: Fast and generalizable 3d gaussian heads
Learning 3D head priors from large 2D image collections is an important step towards high-
quality 3D-aware human modeling. A core requirement is an efficient architecture that scales …
quality 3D-aware human modeling. A core requirement is an efficient architecture that scales …