{"id":20073246,"url":"https://github.com/fxia22/pixeldtgan","last_synced_at":"2025-05-09T00:09:35.664Z","repository":{"id":72215266,"uuid":"63136727","full_name":"fxia22/PixelDTGAN","owner":"fxia22","description":"A torch implementation of \"Pixel-Level Domain Transfer\" ","archived":false,"fork":false,"pushed_at":"2017-11-01T18:35:08.000Z","size":2489,"stargazers_count":264,"open_issues_count":0,"forks_count":46,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-05-09T00:09:28.484Z","etag":null,"topics":["domain-transfer","gan","torch"],"latest_commit_sha":null,"homepage":"http://arxiv.org/abs/1603.07442","language":"Lua","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/fxia22.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}},"created_at":"2016-07-12T07:33:01.000Z","updated_at":"2025-03-20T11:30:09.000Z","dependencies_parsed_at":"2023-07-26T17:15:50.768Z","dependency_job_id":null,"html_url":"https://github.com/fxia22/PixelDTGAN","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/fxia22%2FPixelDTGAN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fxia22%2FPixelDTGAN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fxia22%2FPixelDTGAN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fxia22%2FPixelDTGAN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fxia22","download_url":"https://codeload.github.com/fxia22/PixelDTGAN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253166521,"owners_count":21864482,"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":["domain-transfer","gan","torch"],"created_at":"2024-11-13T14:44:28.322Z","updated_at":"2025-05-09T00:09:35.641Z","avatar_url":"https://github.com/fxia22.png","language":"Lua","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pixel Level Domain Transfer\nA torch implementation of \"Pixel-Level Domain Transfer\". based on [dcgan.torch](https://github.com/soumith/dcgan.torch). \n\n\n\n# Dataset\nThe dataset used is \"LookBook\", from [Donggeun Yoo](https://dgyoo.github.io). \n\n\n# Training\n\nTo train the model, put the LOOKBOOK dataset under repository, resize images to 64*64. Prepare the dataset using `prepare_data.ipynb`.\nThen run \n```\nth main.lua\n```\n\nYou can tune the parameters, such as number of filters, optimizer, etc.\n\n# Example results\n\nExample results on LOOKBOOK dataset(top), left is input, right is generated clothes. Results on a similar dataset (bottom). \nMore results will be added soon.\n\n![Results](https://github.com/fxia22/pldtgan/blob/master/gan.jpg)\n\n# Monitor the performance\n\n\n- Install display package with: `luarocks install https://raw.githubusercontent.com/szym/display/master/display-scm-0.rockspec`\n- Start the server with: `th -ldisplay.start`\n- Open this URL in your browser: `http://localhost:8000`\n\nBelow shows the results after 7 epochs, each 3*1 block is generated cloth, true cloth, input image. Errors of G, D, and A network will be plotted.\n \n![epoch 7](https://github.com/fxia22/pldtgan/blob/master/epoch7.jpg)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffxia22%2Fpixeldtgan","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffxia22%2Fpixeldtgan","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffxia22%2Fpixeldtgan/lists"}