{"task":"Image-to-Image Translation","dataset":"CelebA-HQ","metric_names":["FID","LPIPS"],"rows":[{"id":4992,"task":"Image-to-Image Translation","parent_task":null,"dataset":"CelebA-HQ","model_name":"StarGAN v2","metrics":{"FID":"13.73","LPIPS":"0.428"},"paper_url":"https://arxiv.org/abs/1912.01865v2","paper_title":"StarGAN v2: Diverse Image Synthesis for Multiple Domains","paper_date":"2019-12-04","code_links":[{"title":"clovaai/stargan-v2","url":"https://github.com/clovaai/stargan-v2"},{"title":"naver-ai/StyleMapGAN","url":"https://github.com/naver-ai/StyleMapGAN"},{"title":"mindslab-ai/hififace","url":"https://github.com/mindslab-ai/hififace"},{"title":"kunheek/style-aware-discriminator","url":"https://github.com/kunheek/style-aware-discriminator"},{"title":"taki0112/StarGAN_v2-Tensorflow","url":"https://github.com/taki0112/StarGAN_v2-Tensorflow"},{"title":"eps696/stargan2","url":"https://github.com/eps696/stargan2"},{"title":"KbeautyHair/BaselineModel","url":"https://github.com/KbeautyHair/BaselineModel"},{"title":"karlchahine/neural-cover-selection-for-image-steganography","url":"https://github.com/karlchahine/neural-cover-selection-for-image-steganography"},{"title":"UdonDa/StarGAN-v2-pytorch-nonofficial","url":"https://github.com/UdonDa/StarGAN-v2-pytorch-nonofficial"},{"title":"SUPERSHOPxyz/stylegan3-gradient","url":"https://github.com/SUPERSHOPxyz/stylegan3-gradient"},{"title":"threeracha/Chuibbo-Flask-Server","url":"https://github.com/threeracha/Chuibbo-Flask-Server"},{"title":"zzz2010/starganv2_paddle","url":"https://github.com/zzz2010/starganv2_paddle"},{"title":"2023-MindSpore-4/Code7","url":"https://github.com/2023-MindSpore-4/Code7/tree/main/StarGAN"},{"title":"sss20young/Chuibbo-Flask-Server","url":"https://github.com/sss20young/Chuibbo-Flask-Server"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":4993,"task":"Image-to-Image Translation","parent_task":null,"dataset":"CelebA-HQ","model_name":"CoCosNet","metrics":{"FID":"14.3"},"paper_url":"https://arxiv.org/abs/2004.05571v1","paper_title":"Cross-domain Correspondence Learning for Exemplar-based Image Translation","paper_date":"2020-04-12","code_links":[{"title":"microsoft/CoCosNet","url":"https://github.com/microsoft/CoCosNet"},{"title":"KU-CVLAB/MIDMs","url":"https://github.com/KU-CVLAB/MIDMs"},{"title":"Lotayou/CoCosNet","url":"https://github.com/Lotayou/CoCosNet"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":4994,"task":"Image-to-Image Translation","parent_task":null,"dataset":"CelebA-HQ","model_name":"PHStarGANv2 n=4","metrics":{"FID":"16.54","LPIPS":"0.29"},"paper_url":"https://arxiv.org/abs/2205.02087v1","paper_title":"Hypercomplex Image-to-Image Translation","paper_date":"2022-05-04","code_links":[{"title":"ispamm/hi2i","url":"https://github.com/ispamm/hi2i"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":4995,"task":"Image-to-Image Translation","parent_task":null,"dataset":"CelebA-HQ","model_name":"PHStarGANv2 n=3","metrics":{"FID":"16.63","LPIPS":"0.33"},"paper_url":"https://arxiv.org/abs/2205.02087v1","paper_title":"Hypercomplex Image-to-Image Translation","paper_date":"2022-05-04","code_links":[{"title":"ispamm/hi2i","url":"https://github.com/ispamm/hi2i"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":4996,"task":"Image-to-Image Translation","parent_task":null,"dataset":"CelebA-HQ","model_name":"PonoSPadaIN","metrics":{"FID":"23.8"},"paper_url":"https://arxiv.org/abs/2107.11262v1","paper_title":"Image-to-Image Translation with Low Resolution Conditioning","paper_date":"2021-07-23","code_links":[{"title":"Medabid1/I2I-LR","url":"https://github.com/Medabid1/I2I-LR"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":4997,"task":"Image-to-Image Translation","parent_task":null,"dataset":"CelebA-HQ","model_name":"EGSDE","metrics":{"FID":"30.61"},"paper_url":"https://arxiv.org/abs/2207.06635v5","paper_title":"EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations","paper_date":"2022-07-14","code_links":[{"title":"ML-GSAI/EGSDE","url":"https://github.com/ML-GSAI/EGSDE"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":13198,"task":"Image-to-Image Translation","parent_task":"Image Generation","dataset":"CelebA-HQ","model_name":"StarGAN v2","metrics":{"FID":"13.73","LPIPS":"0.428"},"paper_url":"https://arxiv.org/abs/1912.01865v2","paper_title":"StarGAN v2: Diverse Image Synthesis for Multiple Domains","paper_date":"2019-12-04","code_links":[{"title":"clovaai/stargan-v2","url":"https://github.com/clovaai/stargan-v2"},{"title":"naver-ai/StyleMapGAN","url":"https://github.com/naver-ai/StyleMapGAN"},{"title":"mindslab-ai/hififace","url":"https://github.com/mindslab-ai/hififace"},{"title":"kunheek/style-aware-discriminator","url":"https://github.com/kunheek/style-aware-discriminator"},{"title":"taki0112/StarGAN_v2-Tensorflow","url":"https://github.com/taki0112/StarGAN_v2-Tensorflow"},{"title":"eps696/stargan2","url":"https://github.com/eps696/stargan2"},{"title":"KbeautyHair/BaselineModel","url":"https://github.com/KbeautyHair/BaselineModel"},{"title":"karlchahine/neural-cover-selection-for-image-steganography","url":"https://github.com/karlchahine/neural-cover-selection-for-image-steganography"},{"title":"UdonDa/StarGAN-v2-pytorch-nonofficial","url":"https://github.com/UdonDa/StarGAN-v2-pytorch-nonofficial"},{"title":"SUPERSHOPxyz/stylegan3-gradient","url":"https://github.com/SUPERSHOPxyz/stylegan3-gradient"},{"title":"threeracha/Chuibbo-Flask-Server","url":"https://github.com/threeracha/Chuibbo-Flask-Server"},{"title":"zzz2010/starganv2_paddle","url":"https://github.com/zzz2010/starganv2_paddle"},{"title":"2023-MindSpore-4/Code7","url":"https://github.com/2023-MindSpore-4/Code7/tree/main/StarGAN"},{"title":"sss20young/Chuibbo-Flask-Server","url":"https://github.com/sss20young/Chuibbo-Flask-Server"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":13199,"task":"Image-to-Image Translation","parent_task":"Image Generation","dataset":"CelebA-HQ","model_name":"CoCosNet","metrics":{"FID":"14.3"},"paper_url":"https://arxiv.org/abs/2004.05571v1","paper_title":"Cross-domain Correspondence Learning for Exemplar-based Image Translation","paper_date":"2020-04-12","code_links":[{"title":"microsoft/CoCosNet","url":"https://github.com/microsoft/CoCosNet"},{"title":"KU-CVLAB/MIDMs","url":"https://github.com/KU-CVLAB/MIDMs"},{"title":"Lotayou/CoCosNet","url":"https://github.com/Lotayou/CoCosNet"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":13200,"task":"Image-to-Image Translation","parent_task":"Image Generation","dataset":"CelebA-HQ","model_name":"PHStarGANv2 n=4","metrics":{"FID":"16.54","LPIPS":"0.29"},"paper_url":"https://arxiv.org/abs/2205.02087v1","paper_title":"Hypercomplex Image-to-Image Translation","paper_date":"2022-05-04","code_links":[{"title":"ispamm/hi2i","url":"https://github.com/ispamm/hi2i"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":13201,"task":"Image-to-Image Translation","parent_task":"Image Generation","dataset":"CelebA-HQ","model_name":"PHStarGANv2 n=3","metrics":{"FID":"16.63","LPIPS":"0.33"},"paper_url":"https://arxiv.org/abs/2205.02087v1","paper_title":"Hypercomplex Image-to-Image Translation","paper_date":"2022-05-04","code_links":[{"title":"ispamm/hi2i","url":"https://github.com/ispamm/hi2i"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":13202,"task":"Image-to-Image Translation","parent_task":"Image Generation","dataset":"CelebA-HQ","model_name":"PonoSPadaIN","metrics":{"FID":"23.8"},"paper_url":"https://arxiv.org/abs/2107.11262v1","paper_title":"Image-to-Image Translation with Low Resolution Conditioning","paper_date":"2021-07-23","code_links":[{"title":"Medabid1/I2I-LR","url":"https://github.com/Medabid1/I2I-LR"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":13203,"task":"Image-to-Image Translation","parent_task":"Image Generation","dataset":"CelebA-HQ","model_name":"EGSDE","metrics":{"FID":"30.61"},"paper_url":"https://arxiv.org/abs/2207.06635v5","paper_title":"EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations","paper_date":"2022-07-14","code_links":[{"title":"ML-GSAI/EGSDE","url":"https://github.com/ML-GSAI/EGSDE"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":153691,"task":"Image-to-Image Translation","parent_task":"1 Image, 2*2 Stitching","dataset":"CelebA-HQ","model_name":"StarGAN v2","metrics":{"FID":"13.73","LPIPS":"0.428"},"paper_url":"https://arxiv.org/abs/1912.01865v2","paper_title":"StarGAN v2: Diverse Image Synthesis for Multiple Domains","paper_date":"2019-12-04","code_links":[{"title":"clovaai/stargan-v2","url":"https://github.com/clovaai/stargan-v2"},{"title":"naver-ai/StyleMapGAN","url":"https://github.com/naver-ai/StyleMapGAN"},{"title":"mindslab-ai/hififace","url":"https://github.com/mindslab-ai/hififace"},{"title":"kunheek/style-aware-discriminator","url":"https://github.com/kunheek/style-aware-discriminator"},{"title":"taki0112/StarGAN_v2-Tensorflow","url":"https://github.com/taki0112/StarGAN_v2-Tensorflow"},{"title":"eps696/stargan2","url":"https://github.com/eps696/stargan2"},{"title":"KbeautyHair/BaselineModel","url":"https://github.com/KbeautyHair/BaselineModel"},{"title":"karlchahine/neural-cover-selection-for-image-steganography","url":"https://github.com/karlchahine/neural-cover-selection-for-image-steganography"},{"title":"UdonDa/StarGAN-v2-pytorch-nonofficial","url":"https://github.com/UdonDa/StarGAN-v2-pytorch-nonofficial"},{"title":"SUPERSHOPxyz/stylegan3-gradient","url":"https://github.com/SUPERSHOPxyz/stylegan3-gradient"},{"title":"threeracha/Chuibbo-Flask-Server","url":"https://github.com/threeracha/Chuibbo-Flask-Server"},{"title":"zzz2010/starganv2_paddle","url":"https://github.com/zzz2010/starganv2_paddle"},{"title":"2023-MindSpore-4/Code7","url":"https://github.com/2023-MindSpore-4/Code7/tree/main/StarGAN"},{"title":"sss20young/Chuibbo-Flask-Server","url":"https://github.com/sss20young/Chuibbo-Flask-Server"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":153692,"task":"Image-to-Image Translation","parent_task":"1 Image, 2*2 Stitching","dataset":"CelebA-HQ","model_name":"CoCosNet","metrics":{"FID":"14.3"},"paper_url":"https://arxiv.org/abs/2004.05571v1","paper_title":"Cross-domain Correspondence Learning for Exemplar-based Image Translation","paper_date":"2020-04-12","code_links":[{"title":"microsoft/CoCosNet","url":"https://github.com/microsoft/CoCosNet"},{"title":"KU-CVLAB/MIDMs","url":"https://github.com/KU-CVLAB/MIDMs"},{"title":"Lotayou/CoCosNet","url":"https://github.com/Lotayou/CoCosNet"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":153693,"task":"Image-to-Image Translation","parent_task":"1 Image, 2*2 Stitching","dataset":"CelebA-HQ","model_name":"PHStarGANv2 n=4","metrics":{"FID":"16.54","LPIPS":"0.29"},"paper_url":"https://arxiv.org/abs/2205.02087v1","paper_title":"Hypercomplex Image-to-Image Translation","paper_date":"2022-05-04","code_links":[{"title":"ispamm/hi2i","url":"https://github.com/ispamm/hi2i"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":153694,"task":"Image-to-Image Translation","parent_task":"1 Image, 2*2 Stitching","dataset":"CelebA-HQ","model_name":"PHStarGANv2 n=3","metrics":{"FID":"16.63","LPIPS":"0.33"},"paper_url":"https://arxiv.org/abs/2205.02087v1","paper_title":"Hypercomplex Image-to-Image Translation","paper_date":"2022-05-04","code_links":[{"title":"ispamm/hi2i","url":"https://github.com/ispamm/hi2i"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":153695,"task":"Image-to-Image Translation","parent_task":"1 Image, 2*2 Stitching","dataset":"CelebA-HQ","model_name":"PonoSPadaIN","metrics":{"FID":"23.8"},"paper_url":"https://arxiv.org/abs/2107.11262v1","paper_title":"Image-to-Image Translation with Low Resolution Conditioning","paper_date":"2021-07-23","code_links":[{"title":"Medabid1/I2I-LR","url":"https://github.com/Medabid1/I2I-LR"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":153696,"task":"Image-to-Image Translation","parent_task":"1 Image, 2*2 Stitching","dataset":"CelebA-HQ","model_name":"EGSDE","metrics":{"FID":"30.61"},"paper_url":"https://arxiv.org/abs/2207.06635v5","paper_title":"EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations","paper_date":"2022-07-14","code_links":[{"title":"ML-GSAI/EGSDE","url":"https://github.com/ML-GSAI/EGSDE"}],"metrics_order":"[\"FID\", \"LPIPS\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]}]}