Nerf: Neural radiance field in 3d vision, a comprehensive review
Neural Radiance Field (NeRF), a new novel view synthesis with implicit scene
representation has taken the field of Computer Vision by storm. As a novel view synthesis …
representation has taken the field of Computer Vision by storm. As a novel view synthesis …
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 …
A survey on deep generative 3d-aware image synthesis
Recent years have seen remarkable progress in deep learning powered visual content
creation. This includes deep generative 3D-aware image synthesis, which produces high …
creation. This includes deep generative 3D-aware image synthesis, which produces high …
Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes
We present DrivingGaussian an efficient and effective framework for surrounding dynamic
autonomous driving scenes. For complex scenes with moving objects we first sequentially …
autonomous driving scenes. For complex scenes with moving objects we first sequentially …
Suds: Scalable urban dynamic scenes
We extend neural radiance fields (NeRFs) to dynamic large-scale urban scenes. Prior work
tends to reconstruct single video clips of short durations (up to 10 seconds). Two reasons …
tends to reconstruct single video clips of short durations (up to 10 seconds). Two reasons …
Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs
We use neural radiance fields (NeRFs) to build interactive 3D environments from large-scale
visual captures spanning buildings or even multiple city blocks collected primarily from …
visual captures spanning buildings or even multiple city blocks collected primarily from …
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 …
Progressively optimized local radiance fields for robust view synthesis
We present an algorithm for reconstructing the radiance field of a large-scale scene from a
single casually captured video. The task poses two core challenges. First, most existing …
single casually captured video. The task poses two core challenges. First, most existing …
Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering
Neural radiance fields (NeRF) has achieved outstanding performance in modeling 3D
objects and controlled scenes, usually under a single scale. In this work, we focus on multi …
objects and controlled scenes, usually under a single scale. In this work, we focus on multi …
Neural fields meet explicit geometric representations for inverse rendering of urban scenes
Reconstruction and intrinsic decomposition of scenes from captured imagery would enable
many applications such as relighting and virtual object insertion. Recent NeRF based …
many applications such as relighting and virtual object insertion. Recent NeRF based …