The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …

We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a
single image, featuring state-of-the-art generation quality and significant training scalability …

We present Stable Video 4D (SV4D), a latent video diffusion model for multi-frame and multi-
view consistent dynamic 3D content generation. Unlike previous methods that rely on …

Advancements in 3D scene reconstruction have transformed 2D images from the real world
into 3D models, producing realistic 3D results from hundreds of input photos. Despite great …

Closed-loop simulation is essential for advancing end-to-end autonomous driving systems.
Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on …

In this paper, we introduce\textbf {DimensionX}, a framework designed to generate
photorealistic 3D and 4D scenes from just a single image with video diffusion. Our approach …

Novel-view synthesis aims to generate novel views of a scene from multiple input images or
videos, and recent advancements like 3D Gaussian splatting (3DGS) have achieved notable …

Despite having tremendous progress in image-to-3D generation, existing methods still
struggle to produce multi-view consistent images with high-resolution textures in detail …

In 3D modeling, designers often use an existing 3D model as a reference to create new
ones. This practice has inspired the development of Phidias, a novel generative model that …

Recently, image-to-3D approaches have significantly advanced the generation quality and
speed of 3D assets based on large reconstruction models, particularly 3D Gaussian …