Point-EOpenAI
|
RODINMicrosoft
|
|||||
Related Products
|
||||||
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.
|
About
This 3D avatar diffusion model is an AI system that automatically produces highly detailed 3D digital avatars. The generated avatars can be freely viewed in 360 degrees with unprecedented quality. The model significantly accelerates traditionally sophisticated 3D modeling process and opens new opportunities for 3D artists. This 3D avatar diffusion model is trained to generate 3D digital avatars represented as neural radiance fields. We build on the state-of-the-art generative technique (diffusion models) for 3D modeling. We use tri-plane representation to factorize the neural radiance field of avatars, which can be explicitly modeled by diffusion models and rendered to images via volumetric rendering. The proposed 3D-aware convolution brings the much-needed computational efficiency while preserving the integrity of diffusion modeling in 3D. The whole generation is a hierarchical process with cascaded diffusion models for multi-scale modeling.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Anyone searching for a system for generating 3D point clouds from complex prompts
|
Audience
Anyone searching for a generative model solution for sculpting 3D digital avatars
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationOpenAI
Founded: 2015
United States
openai.com/research/point-e
|
Company InformationMicrosoft
Founded: 1975
United States
3d-avatar-diffusion.microsoft.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Fuser
Haimeta
Weavy
|
||||||
|
|
|