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 …

In this paper, we introduce Splatt3R, a pose-free, feed-forward method for in-the-wild 3D
reconstruction and novel view synthesis from stereo pairs. Given uncalibrated natural …

3D Gaussian Splatting (3DGS) has attracted significant attention for its potential to
revolutionize 3D representation, rendering, and interaction. Despite the rapid growth of …

Simultaneous Localization and Mapping (SLAM) is a fundamental task in robotics, driving
numerous applications such as autonomous driving and virtual reality. Recent progress on …

Thoroughly testing autonomy systems is crucial in the pursuit of safe autonomous driving
vehicles. It necessitates creating safety-critical scenarios that go beyond what can be safely …

Point clouds are commonly used in various practical applications such as autonomous
driving and the manufacturing industry. However, these point clouds often suffer from …

The utilization of the triplane-based radiance fields has gained attention in recent years due
to its ability to effectively disentangle 3D scenes with a high-quality representation and low …

As the potential of artificial intelligence continues to be explored, image-based novel view
synthesis has recently gained increasing attention in many real-world domains. Implicit …

We present a generalizable 3D Gaussian Splatting (3DGS) method that can synthesize
novel views of unseen scenes. Existing methods directly input image features into the …

Empowering 3D Gaussian Splatting with generalization ability is appealing. However,
existing generalizable 3D Gaussian Splatting methods are largely confined to narrow-range …