We present SCube, a novel method for reconstructing large-scale 3D scenes (geometry,
appearance, and semantics) from a sparse set of posed images. Our method encodes …

We present STORM, a spatio-temporal reconstruction model designed for reconstructing
dynamic outdoor scenes from sparse observations. Existing dynamic reconstruction …

We present InfiniCube, a scalable method for generating unbounded dynamic 3D driving
scenes with high fidelity and controllability. Previous methods for scene generation either …

Recent 3D content generation pipelines commonly employ Variational Autoencoders (VAEs)
to encode shapes into compact latent representations for diffusion-based generation …

Recent advancements in static feed-forward scene reconstruction have demonstrated
significant progress in high-quality novel view synthesis. However, these models often …

This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize
shape variations based on a single reference model. While generative methods for 3D …

We propose an efficient radiance field rendering algorithm that incorporates a rasterization
process on sparse voxels without neural networks or 3D Gaussians. There are two key …

Unlike global community detection, local community detection is to identify a cluster of nodes
sharing similar feature information based on a given seed. The accuracy of many local …