Point-E

Point-E

OpenAI
Magic3D Point-E

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Magic3D:

About

Together with image conditioning techniques as well as prompt-based editing approach, we provide users with new ways to control 3D synthesis, opening up new avenues to various creative applications. Magic3D can create high-quality 3D textured mesh models from input text prompts. It utilizes a coarse-to-fine strategy leveraging both low- and high-resolution diffusion priors for learning the 3D representation of the target content. Magic3D synthesizes 3D content with 8× higher-resolution supervision than DreamFusion while also being 2× faster. Given a coarse model generated with a base text prompt, we can modify parts of the text in the prompt, and then fine-tune the NeRF and 3D mesh models to obtain an edited high-resolution 3D mesh.
Point-E:

About

While recent work on text-conditional 3D object generation has shown promising results, the state-of-the-art methods typically require multiple GPU-hours to produce a single sample. This is in stark contrast to state-of-the-art generative image models, which produce samples in a number of seconds or minutes. In this paper, we explore an alternative method for 3D object generation which produces 3D models in only 1-2 minutes on a single GPU. Our method first generates a single synthetic view using a text-to-image diffusion model and then produces a 3D point cloud using a second diffusion model which conditions the generated image. While our method still falls short of the state-of-the-art in terms of sample quality, it is one to two orders of magnitude faster to sample from, offering a practical trade-off for some use cases. We release our pre-trained point cloud diffusion models, as well as evaluation code and models, at this https URL.
Magic3D:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Point-E:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Magic3D:

Audience

Companies searching for a text-to-3D content creation tool that creates 3D mesh models with unprecedented quality
Point-E:

Audience

Anyone searching for a system for generating 3D point clouds from complex prompts
Magic3D:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Point-E:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Magic3D:

API

Offers API Not Supported
Point-E:

API

Offers API Not Supported
Magic3D:

Screenshots and Videos

Point-E:

Screenshots and Videos

Magic3D:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Point-E:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Magic3D:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Point-E:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Magic3D:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Point-E:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Magic3D:

Company Information

Magic3D
research.nvidia.com/labs/dir/magic3d/
Point-E:

Company Information

OpenAI
Founded: 2015
United States
openai.com/research/point-e
Magic3D:

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Seed3D

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Point-E:
Magic3D:
Point-E:
ModelsLab

ModelsLab

1.0 out of 5 stars
Magic3D:

Categories

AI Tools Supported
Point-E:

Categories

Magic3D:

Integrations

No info available.
Point-E:

Integrations

No info available.
Magic3D:
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Claim Magic3D and update features and information
Point-E:
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