{"id":13442690,"url":"https://github.com/openai/point-e","last_synced_at":"2025-05-14T11:09:49.556Z","repository":{"id":64980643,"uuid":"575048321","full_name":"openai/point-e","owner":"openai","description":"Point cloud diffusion for 3D model synthesis","archived":false,"fork":false,"pushed_at":"2024-07-04T19:05:34.000Z","size":1601,"stargazers_count":6686,"open_issues_count":78,"forks_count":782,"subscribers_count":225,"default_branch":"main","last_synced_at":"2025-04-09T03:09:46.147Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/openai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-12-06T16:32:13.000Z","updated_at":"2025-04-08T10:56:43.000Z","dependencies_parsed_at":"2024-09-21T10:30:28.759Z","dependency_job_id":"aa4413b5-dd54-4eb8-801e-9b93737e3435","html_url":"https://github.com/openai/point-e","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openai%2Fpoint-e","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openai%2Fpoint-e/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openai%2Fpoint-e/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openai%2Fpoint-e/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/openai","download_url":"https://codeload.github.com/openai/point-e/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254129489,"owners_count":22019628,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-31T03:01:49.223Z","updated_at":"2025-05-14T11:09:49.505Z","avatar_url":"https://github.com/openai.png","language":"Python","funding_links":[],"categories":["Python","1. \u003ca name='ImageArtGeneration'\u003e\u003c/a\u003e📷 Image \u0026 Art Generation","Others","\u003cspan id=\"model\"\u003e3D Model\u003c/span\u003e","Image Synthesis","Venture Capitalists","SDK, Libraries, Frameworks"],"sub_categories":["\u003cspan id=\"tool\"\u003eLLM (LLM \u0026 Tool)\u003c/span\u003e","AI Tools for Searching","OpenAI Products","Python library, sdk or frameworks"],"readme":"# Point·E\n\n![Animation of four 3D point clouds rotating](point_e/examples/paper_banner.gif)\n\nThis is the official code and model release for [Point-E: A System for Generating 3D Point Clouds from Complex Prompts](https://arxiv.org/abs/2212.08751).\n\n# Usage\n\nInstall with `pip install -e .`.\n\nTo get started with examples, see the following notebooks:\n\n * [image2pointcloud.ipynb](point_e/examples/image2pointcloud.ipynb) - sample a point cloud, conditioned on some example synthetic view images.\n * [text2pointcloud.ipynb](point_e/examples/text2pointcloud.ipynb) - use our small, worse quality pure text-to-3D model to produce 3D point clouds directly from text descriptions. This model's capabilities are limited, but it does understand some simple categories and colors.\n * [pointcloud2mesh.ipynb](point_e/examples/pointcloud2mesh.ipynb) - try our SDF regression model for producing meshes from point clouds.\n\nFor our P-FID and P-IS evaluation scripts, see:\n\n * [evaluate_pfid.py](point_e/evals/scripts/evaluate_pfid.py)\n * [evaluate_pis.py](point_e/evals/scripts/evaluate_pis.py)\n\nFor our Blender rendering code, see [blender_script.py](point_e/evals/scripts/blender_script.py)\n\n# Samples\n\nYou can download the seed images and point clouds corresponding to the paper banner images [here](https://openaipublic.azureedge.net/main/point-e/banner_pcs.zip).\n\nYou can download the seed images used for COCO CLIP R-Precision evaluations [here](https://openaipublic.azureedge.net/main/point-e/coco_images.zip).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenai%2Fpoint-e","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopenai%2Fpoint-e","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenai%2Fpoint-e/lists"}