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 …
2d gaussian splatting for geometrically accurate radiance fields
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction,
achieving high quality novel view synthesis and fast rendering speed. However, 3DGS fails …
achieving high quality novel view synthesis and fast rendering speed. However, 3DGS fails …
Neuralangelo: High-fidelity neural surface reconstruction
Neural surface reconstruction has been shown to be powerful for recovering dense 3D
surfaces via image-based neural rendering. However, current methods struggle to recover …
surfaces via image-based neural rendering. However, current methods struggle to recover …
Hexplane: A fast representation for dynamic scenes
Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
Text-to-3d using gaussian splatting
Automatic text-to-3D generation that combines Score Distillation Sampling (SDS) with the
optimization of volume rendering has achieved remarkable progress in synthesizing realistic …
optimization of volume rendering has achieved remarkable progress in synthesizing realistic …
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 …
Unisim: A neural closed-loop sensor simulator
Rigorously testing autonomy systems is essential for making safe self-driving vehicles (SDV)
a reality. It requires one to generate safety critical scenarios beyond what can be collected …
a reality. It requires one to generate safety critical scenarios beyond what can be collected …