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 …

Recent 3D large reconstruction models typically employ a two-stage process, including first
generate multi-view images by a multi-view diffusion model, and then utilize a feed-forward …

Despite significant strides in the field of 3D scene editing, current methods encounter
substantial challenge, particularly in preserving 3D consistency in multi-view editing …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

We present Puppet-Master, an interactive video generative model that can serve as a motion
prior for part-level dynamics. At test time, given a single image and a sparse set of motion …

Recently video diffusion models have emerged as expressive generative tools for high-
quality video content creation readily available to general users. However, these models …

Given a single image of a target object, image-to-3D generation aims to reconstruct its
texture and geometric shape. Recent methods often utilize intermediate media, such as multi …

Sora unveils the potential of scaling Diffusion Transformer for generating photorealistic
images and videos at arbitrary resolutions, aspect ratios, and durations, yet it still lacks …

Existing single image-to-3D creation methods typically involve a two-stage process, first
generating multi-view images, and then using these images for 3D reconstruction. However …

We propose a novel approach for reconstructing animatable 3D Gaussian avatars from
monocular videos captured by commodity devices like smartphones. Photorealistic 3D head …