Abstract In recent years Neural Radiance Field (NeRF) has demonstrated remarkable
capabilities in representing 3D scenes. To expedite the rendering process learnable explicit …

City layout generation has recently gained significant attention. The goal of this task is to
automatically generate the layout of a city scene, including elements such as roads …

The recent 3D Gaussian splatting (3D-GS) has shown remarkable rendering fidelity and
efficiency compared to NeRF-based neural scene representations. While demonstrating the …

While recent advances in neural radiance field enable realistic digitization for large-scale
scenes the image-capturing process is still time-consuming and labor-intensive. Previous …

We address the challenge of content diversity and controllability in pedestrian simulation for
driving scenarios. Recent pedestrian animation frameworks have a significant limitation …

The advancement of real-time 3D scene reconstruction and novel view synthesis has been
significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large …

We present a neural radiance field method for urban-scale semantic and building-level
instance segmentation from aerial images by lifting noisy 2D labels to 3D. This is a …

We propose XScale-NVS for high-fidelity cross-scale novel view synthesis of real-world
large-scale scenes. Existing representations based on explicit surface suffer from …

Due to its great application potential, large-scale scene generation has drawn extensive
attention in academia and industry. Recent research employs powerful generative models to …

NeRF has significantly advanced 3D scene reconstruction, capturing intricate details across
various environments. Existing methods have successfully leveraged radiance field baking …