4d gaussian splatting for real-time dynamic scene rendering
Representing and rendering dynamic scenes has been an important but challenging task.
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
[PDF][PDF] 3d gaussian splatting for real-time radiance field rendering
[CS482] 3D Gaussian Splatting for Real-Time Radiance Field Rendering Page 1 3D Gaussian
Splatting for Real-Time Radiance Field Rendering November 20, 2023 Bernhard Kerbl …
Splatting for Real-Time Radiance Field Rendering November 20, 2023 Bernhard Kerbl …
Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
We present a method that simultaneously addresses the tasks of dynamic scene novel-view
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …
Mip-splatting: Alias-free 3d gaussian splatting
Abstract Recently 3D Gaussian Splatting has demonstrated impressive novel view synthesis
results reaching high fidelity and efficiency. However strong artifacts can be observed when …
results reaching high fidelity and efficiency. However strong artifacts can be observed when …
Gaussianeditor: Swift and controllable 3d editing with gaussian splatting
Abstract 3D editing plays a crucial role in many areas such as gaming and virtual reality.
Traditional 3D editing methods which rely on representations like meshes and point clouds …
Traditional 3D editing methods which rely on representations like meshes and point clouds …
Hugs: Human gaussian splats
Recent advances in neural rendering have improved both training and rendering times by
orders of magnitude. While these methods demonstrate state-of-the-art quality and speed …
orders of magnitude. While these methods demonstrate state-of-the-art quality and speed …
Advances in neural rendering
Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …
been the focus of decades of research. Traditionally, synthetic images of a scene are …
Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling
Modeling animatable human avatars from RGB videos is a long-standing and challenging
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …
Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …
problems in autonomous driving. Applying deep learning to this problem requires fusing …
Gauhuman: Articulated gaussian splatting from monocular human videos
We present GauHuman a 3D human model with Gaussian Splatting for both fast training (1 2
minutes) and real-time rendering (up to 189 FPS) compared with existing NeRF-based …
minutes) and real-time rendering (up to 189 FPS) compared with existing NeRF-based …