This is the Windows app named Point-E whose latest release can be downloaded as point-esourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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- 7. Muat turun Wine dari repositori perisian pengedaran Linux anda. Setelah dipasang, anda kemudian boleh mengklik dua kali aplikasi untuk menjalankannya dengan Wine. Anda juga boleh mencuba PlayOnLinux, antara muka mewah melalui Wine yang akan membantu anda memasang program dan permainan Windows yang popular.
Wain ialah cara untuk menjalankan perisian Windows pada Linux, tetapi tanpa Windows diperlukan. Wain ialah lapisan keserasian Windows sumber terbuka yang boleh menjalankan program Windows secara langsung pada mana-mana desktop Linux. Pada asasnya, Wine cuba untuk melaksanakan semula Windows yang mencukupi dari awal supaya ia boleh menjalankan semua aplikasi Windows tersebut tanpa memerlukan Windows.
SKRIN
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titik
DESCRIPTION
point-e is the official repository for Point-E, a generative model developed by OpenAI that produces 3D point clouds from textual (or image) prompts. Its principal advantage is speed: it can generate 3D assets in just 1–2 minutes on a single GPU, which is significantly faster than many competing text-to-3D models. The model works via a two-stage diffusion approach: first, it uses a text → image diffusion network to produce a synthetic 2D view consistent with the prompt; then a second diffusion model converts that image into a 3D point cloud. While it does not match the fine detail of some slower methods, the tradeoff in speed makes it practical for prototyping and interactive 3D generation. The repository includes inference scripts, utilities for converting point clouds to meshes (e.g. via signed distance function regression), sample notebooks, and weight checkpoints. It also provides documentation on limitations, usage instructions, and example outputs.
Ciri-ciri
- Text / image → 3D point cloud generation via diffusion
- Two-stage architecture: text → image, then image → point cloud
- Utilities to convert point clouds to mesh via implicit function regression
- Example notebooks and scripts for inference and visualization
- Pretrained checkpoints for rapid prototyping
- Documentation of limitations and tradeoffs (e.g. resolution vs speed)
Bahasa Pengaturcaraan
Python
Kategori
This is an application that can also be fetched from https://sourceforge.net/projects/point-e.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
