Our method presents the first attempt to achieve high-quality 3D creation from a single image for general objects and enables various applications.

Wonder3D reconstructs highly-detailed textured meshes from a single-view image in only 2 ∼ 3 minutes. README.md · Issues · 1gpu.yaml

Pix2pix3D synthesizes 3D objects (neural fields) given a 2D label map, such as a segmentation or edge map. We also provide an interactive 3D editing demo.

The aim of this project is to take in a 2D image file and convert it into a 3D object of file type .glb. image pokemon2 ...

Official implementation for CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model. CRM is a feed-forward model which can generate 3D ...

We present Envision3D, a novel method for efficiently generating high-quality 3D content from a single image. Recent methods that extract 3D content from ...

This repo is the official implementation of InstantMesh, a feed-forward framework for efficient 3D mesh generation from a single image based on the LRM/Instant ... DataLoader · TencentARC/InstantMesh · Requirements.txt · Actions

In this paper, we present One-2-3-45++, an innovative method that transforms a single image into a detailed 3D textured mesh in approximately one minute.

A PyTorch implementation of the 6Img-to-3D model for large-scale outdoor driving scene reconstruction. The model takes as input six images from a driving scene.

One-2-3-45 rethinks how to leverage 2D diffusion models for 3D AIGC and introduces a novel forward-only paradigm that avoids time-consuming optimization.