{"url":"/dataset/uhdbench","name":"Ultra-High Resolution Image Reconstruction Benchmark","full_name":null,"description_markdown":"Ultra-high definition benchmark (UHDBench) includes 2293 images at 2k resolution sourced from the ground-truth test sets of HRSOD, LIU4k, UAVid, UHDM, and UHRSD. Images smaller than 2560 × 1440 are excluded.","description_withheld":null,"homepage":"https://github.com/MKJia/UHDBench","introduced_date":"2025-07-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/mgvq-could-vq-vae-beat-vae-a-generalizable","title":"MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization","first_author":"Mingkai Jia","url":null},"license":{"name":"CC BY-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Reconstruction","url":"/task/image-reconstruction","datasets_with_task":"/datasets/task/image-reconstruction"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["Ultra-High Resolution Image Reconstruction Benchmark"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-reconstruction-on-ultra-high-resolution","task":"Image Reconstruction","dataset_variant":"Ultra-High Resolution Image Reconstruction Benchmark","rows":6,"metrics":["rFID","PSNR","SSIM","LPIPS"],"first_row_in_archive_order":{"model":"SD-VAE (16x16)","paper":"/paper/high-resolution-image-synthesis-with-latent","metrics":{"PSNR":"26.86","rFID":"1.07"},"code_links":[{"title":"compvis/stable-diffusion","url":"https://github.com/compvis/stable-diffusion"},{"title":"labmlai/annotated_deep_learning_paper_implementations","url":"https://github.com/labmlai/annotated_deep_learning_paper_implementations"},{"title":"stability-ai/stablediffusion","url":"https://github.com/stability-ai/stablediffusion"},{"title":"microsoft/visual-chatgpt","url":"https://github.com/microsoft/visual-chatgpt"},{"title":"PaddlePaddle/PaddleNLP","url":"https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers"},{"title":"geekyutao/inpaint-anything","url":"https://github.com/geekyutao/inpaint-anything"},{"title":"showlab/Tune-A-Video","url":"https://github.com/showlab/Tune-A-Video"},{"title":"divamgupta/stable-diffusion-tensorflow","url":"https://github.com/divamgupta/stable-diffusion-tensorflow"},{"title":"mayuelala/followyourpose","url":"https://github.com/mayuelala/followyourpose"},{"title":"glouppe/info8010-deep-learning","url":"https://github.com/glouppe/info8010-deep-learning"},{"title":"keras-team/keras-cv","url":"https://github.com/keras-team/keras-cv"},{"title":"deforum/stable-diffusion","url":"https://github.com/deforum/stable-diffusion"},{"title":"mindspore-lab/mindone","url":"https://github.com/mindspore-lab/mindone"},{"title":"baaivision/vid2vid-zero","url":"https://github.com/baaivision/vid2vid-zero"},{"title":"zgctroy/layoutdiffusion","url":"https://github.com/zgctroy/layoutdiffusion"},{"title":"compvis/fm-boosting","url":"https://github.com/compvis/fm-boosting"},{"title":"Francis-Rings/MotionFollower","url":"https://github.com/Francis-Rings/MotionFollower"},{"title":"explainingai-code/StableDiffusion-PyTorch","url":"https://github.com/explainingai-code/StableDiffusion-PyTorch"},{"title":"ankanbhunia/Handwriting-Transformers","url":"https://github.com/ankanbhunia/Handwriting-Transformers"},{"title":"lorenzo-stacchio/Stable-Diffusion-Inpaint","url":"https://github.com/lorenzo-stacchio/Stable-Diffusion-Inpaint"},{"title":"vainf/diff-pruning","url":"https://github.com/vainf/diff-pruning"},{"title":"Francis-Rings/MotionEditor","url":"https://github.com/Francis-Rings/MotionEditor"},{"title":"olaviinha/NeuralImageSuperResolution","url":"https://github.com/olaviinha/NeuralImageSuperResolution"},{"title":"joanrod/ocr-vqgan","url":"https://github.com/joanrod/ocr-vqgan"},{"title":"showlab/loveu-tgve-2023","url":"https://github.com/showlab/loveu-tgve-2023"},{"title":"yangling0818/contextdiff","url":"https://github.com/yangling0818/contextdiff"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"lilijiangg/autodiffusion","url":"https://github.com/lilijiangg/autodiffusion"},{"title":"will-wang19/Image-Edit-with-Mask-generated-by-Stable-Diffusion","url":"https://github.com/will-wang19/Image-Edit-with-Mask-generated-by-Stable-Diffusion"},{"title":"quereste/implicit-deepfake","url":"https://github.com/quereste/implicit-deepfake"},{"title":"joanrod/figure-diffusion","url":"https://github.com/joanrod/figure-diffusion"},{"title":"spengliang/smoothvideo","url":"https://github.com/spengliang/smoothvideo"},{"title":"joh-fischer/PlantLDM","url":"https://github.com/joh-fischer/PlantLDM"},{"title":"milmor/latent-diffusion-transformer","url":"https://github.com/milmor/latent-diffusion-transformer"},{"title":"artem-gorodetskii/wikiart-latent-diffusion","url":"https://github.com/artem-gorodetskii/wikiart-latent-diffusion"},{"title":"fhshen2022/prunerepaint","url":"https://github.com/fhshen2022/prunerepaint"},{"title":"benearnthof/fm_boosting","url":"https://github.com/benearnthof/fm_boosting"},{"title":"clarken92/vfm","url":"https://github.com/clarken92/vfm"},{"title":"camilocarvajalreyes/sfws-stable-diffusion","url":"https://github.com/camilocarvajalreyes/sfws-stable-diffusion"},{"title":"MindSpore-scientific/code-11","url":"https://github.com/MindSpore-scientific/code-11/tree/main/Super-Resolution-for-Root-Imaging"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mgvq-could-vq-vae-beat-vae-a-generalizable","title":"MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization","date":"2025-07-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/open-magvit2-an-open-source-project-toward","title":"Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation","date":"2024-09-06","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/autoregressive-model-beats-diffusion-llama","title":"Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation","date":"2024-06-10","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":15,"samples_ran":6,"samples_unverified":9,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/visual-autoregressive-modeling-scalable-image","title":"Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction","date":"2024-04-03","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":5,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/high-resolution-image-synthesis-with-latent","title":"High-Resolution Image Synthesis with Latent Diffusion Models","date":"2021-12-20","rows_on_this_dataset":1,"code_links":41,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":28,"samples_ran":19,"samples_unverified":9,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/taming-transformers-for-high-resolution-image","title":"Taming Transformers for High-Resolution Image Synthesis","date":"2020-12-17","rows_on_this_dataset":1,"code_links":13,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":6,"samples_unverified":0,"pointer_only_for_licence":4,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":5,"samples_harvested":63,"samples_ran":39,"samples_unverified":24,"pointer_only_for_licence":10,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}