Implicit neural representation has paved the way for new approaches to dynamic scene
reconstruction. Nonetheless cutting-edge dynamic neural rendering methods rely heavily on …

Existing NeRF-based methods for large scene reconstruction often have limitations in visual
quality and rendering speed. While the recent 3D Gaussian Splatting works well on small …

Novel view synthesis from limited observations remains a crucial and ongoing challenge. In
the realm of NeRF-based few-shot view synthesis, there is often a trade-off between the …

Holistic understanding of urban scenes based on RGB images is a challenging yet important
problem. It encompasses understanding both the geometry and appearance to enable novel …

Scene simulation in autonomous driving has gained significant attention because of its huge
potential for generating customized data. However existing editable scene simulation …

Novel view synthesis has seen major advances in recent years, with 3D Gaussian splatting
offering an excellent level of visual quality, fast training and real-time rendering. However …

Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely
recognized that realistic sensor simulation will play a critical role in solving remaining corner …

3D Gaussian Splatting (3DGS) has recently revolutionized the field of neural rendering with
its high fidelity and efficiency. However, 3DGS heavily depends on the initialized point cloud …

Abstract Recent studies in Radiance Fields have paved the robust way for novel view
synthesis with their photorealistic rendering quality. Nevertheless, they usually employ …

We present a novel multi-view implicit surface reconstruction technique, termed StreetSurf,
that is readily applicable to street view images in widely-used autonomous driving datasets …