The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …

Natural language processing and 2D vision models have attained remarkable proficiency on
many tasks primarily by escalating the scale of training data. However, 3D vision tasks have …

Abstract We present Stable Video 3D (SV3D)—a latent video diffusion model for high-
resolution, image-to-multi-view generation of orbital videos around a 3D object. Recent …

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 …

Lifting 2D diffusion for 3D generation is a challenging problem due to the lack of geometric
prior and the complex entanglement of materials and lighting in natural images. Existing …

In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is
often hampered by the limitations of existing digital tools, which demand extensive expertise …

We introduce GeoWizard, a new generative foundation model designed for estimating
geometric attributes, eg, depth and normals, from single images. While significant research …

This technical report introduces TripoSR, a 3D reconstruction model leveraging transformer
architecture for fast feed-forward 3D generation, producing 3D mesh from a single image in …

This paper presents a neural architecture MVDiffusion++ for 3D object reconstruction that
synthesizes dense and high-resolution views of an object given one or a few images without …