InstantMesh
Image-to-Mesh
Generates 3D meshes from single images using deep learning models
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
3k stars
49 watching
358 forks
Language: Python
last commit: 10 days ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
wjakob/instant-meshes | Software generates interactive field-aligned meshes from input data. | 5,167 |
nvlabs/instant-ngp | A software toolkit for training and rendering neural graphics primitives | 16,033 |
mrforexample/comfyui-3d-pack | An extensive suite of nodes for processing 3D inputs and generating images/videos in ComfyUI using cutting-edge algorithms and models. | 2,371 |
ashawkey/stable-dreamfusion | Generates 3D content from text using a combination of neural networks and image synthesis. | 8,296 |
one-2-3-45/one-2-3-45 | An open-source project that enables the generation of 3D mesh models from single images in under a minute. | 1,563 |
facebookresearch/pytorch3d | A deep learning library for 3D data processing and computer vision research using PyTorch | 8,806 |
cumulo-autumn/streamdiffusion | A pipeline-level solution for real-time interactive image generation using diffusion-based techniques | 9,736 |
huggingface/diffusers | A PyTorch-based library for training and using state-of-the-art diffusion models to generate images, audio, and 3D structures | 26,223 |
tencentarc/gfpgan | An algorithm for restoring damaged or obscured faces in images | 35,898 |
gkjohnson/three-mesh-bvh | An optimization library for raycasting and spatial queries against 3D meshes in web-based graphics applications | 2,545 |
ericlbuehler/mistral.rs | A fast and flexible LLM inference platform supporting various models and devices | 4,466 |
huggingface/accelerate | A tool to simplify training and deployment of PyTorch models on various devices and configurations | 7,947 |
openai/point-e | Generates 3D point clouds from text prompts or images. | 6,539 |
tencent/pocketflow | A framework that automatically compresses and accelerates deep learning models to make them suitable for mobile devices with limited computational resources. | 2,788 |
hujie-frank/senet | An implementation of the Squeeze-and-Excitation Networks architecture in Caffe | 3,394 |