Point-E

Point-E

OpenAI
SeedEdit

SeedEdit

ByteDance
+
+

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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

SeedEdit is an advanced AI image-editing model developed by the ByteDance Seed team that enables users to revise an existing image using natural-language text prompts while preserving unedited regions with high fidelity. It accepts an input image plus a text description of the change (such as style conversion, object removal or replacement, background swap, lighting shift, or text change), and produces a seamlessly edited result that maintains structural integrity, resolution, and identity of the original content. The model leverages a diffusion-based architecture trained via a meta-information embedding pipeline and joint loss (combining diffusion and reward losses) to balance image reconstruction and re-generation, resulting in strong editing controllability, detail retention, and prompt adherence. The latest version (SeedEdit 3.0) supports high-resolution edits (up to 4 K), delivers fast inference (under ~10-15 seconds in many cases), and handles multi-round sequential edits.

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

Professionals and creators needing a solution to edit existing images using simple text commands rather than manual tools

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

ByteDance
Founded: 2012
China
seed.bytedance.com/en/seededit

Alternatives

Alternatives

SeedEdit 3.0

SeedEdit 3.0

ByteDance
Shap-E

Shap-E

OpenAI
RODIN

RODIN

Microsoft
Seedream

Seedream

ByteDance
Seedream 4.5

Seedream 4.5

ByteDance
Qwen-Image

Qwen-Image

Alibaba

Categories

Categories

Integrations

GPT-4o
Gemini

Integrations

GPT-4o
Gemini
Claim Point-E and update features and information
Claim Point-E and update features and information
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Claim SeedEdit and update features and information