The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …

Abstract 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis
results and advancing real-time rendering performance. However, the effectiveness of 3DGS …

Abstract 3D Gaussian Splatting (3DGS) has emerged as a promising framework for novel
view synthesis, boasting rapid rendering speed with high fidelity. However, the substantial …

Novel view synthesis from unconstrained in-the-wild images remains a meaningful but
challenging task. The photometric variation and transient occluders in those unconstrained …

Abstract 3D Gaussian Splatting has recently emerged as a highly promising technique for
modeling of static 3D scenes. In contrast to Neural Radiance Fields, it utilizes efficient …

Abstract As 3D Gaussian Splatting (3DGS) provides fast and high-quality novel view
synthesis, it is a natural extension to deform a canonical 3DGS to multiple frames for …

3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to
become a mainstream method for 3D representations. It can effectively transform multi-view …

Large garages are ubiquitous yet intricate scenes that present unique challenges due to
their monotonous colors, repetitive patterns, reflective surfaces, and transparent vehicle …

Recent efforts in using 3D Gaussians for scene reconstruction and novel view synthesis can
achieve impressive results on curated benchmarks; however, images captured in real life …

3D Gaussian splatting (3D GS) has recently emerged as a transformative technique in the
explicit radiance field and computer graphics landscape. This innovative approach …