Point-E

Point-E

OpenAI
+
+

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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

V2Fun is an all-in-one, browser-based AI 3D creation platform that turns text prompts, reference images, and ordinary videos into production-ready 3D models and animations. Users can generate structurally accurate, perspective-correct concept images, create high-fidelity assets from text or single- and multi-view images, and use built-in prompt optimization to enrich inputs with spatial perspective, PBR materials, and fine texture parameters. Its image-to-3D and text-to-3D engines preserve artistic style, character traits, structural detail, and natural lighting while supporting rapid iteration for characters, scenes, game assets, industrial models, and 3D-printable objects. Smart retopology automatically produces clean, lightweight, editable quad meshes without sacrificing surface detail, while the AI texture generator creates or swaps complete PBR material sets with accurate lighting, bump, gloss, and roughness information.

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

Designer-toy creators and small animation studios that need to produce rigged, textured, and exportable 3D assets without a traditional production pipeline

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/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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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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

V2Fun
Founded: 2025
United States
v2fun.ai/

Alternatives

Alternatives

Seed3D

Seed3D

ByteDance
Shap-E

Shap-E

OpenAI
RODIN

RODIN

Microsoft

Categories

Categories

Integrations

No info available.

Integrations

No info available.
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