{ "title": "공개 모델로 다시 키운 메이플 도트", "created_at": "2026-09-15T02:03:46.472721+00:00", "manifest_sha256": "a9b54b3789dfabce794718a29670c90c75f735037085d12bf5cdb53de1079b60", "scale": 4, "protocol": { "summary": "첫 nearest 점샘플 실험 기록입니다. 이 축소 방식은 OpenAI SR의 area 학습 입력과 다르며, 원 ESRGAN도 bicubic 학습입니다. check/의 축소 방식 대조와 함께 읽어야 합니다. 검증 자료의 서로 다른 8계열·8장이고 제작 연도는 미확인입니다. 모집단 전체의 성능 순위가 아닙니다.", "downscale": "원본 도트 전경을 자르거나 확대하지 않고 256×256 중앙에 배치 → 흰 배경 합성 → HR[2::4,2::4] 점샘플로 64×64 축소. Pillow nearest와 동일함을 검사했습니다.", "alpha": "모든 모델이 같은 흰색 RGB 입력을 받습니다. 결과도 원래 모델의 RGB 출력이며 알파 복원·색 보정·앵커 덮어쓰기는 하지 않았습니다. 원본 알파는 점수의 전경 영역을 고르는 데만 씁니다.", "metrics": "PSNR(dB, 높을수록 원본에 가까움)과 RGB MAE(8비트, 낮을수록 좋음)는 원본 전경 중 입력으로 알려주지 않은 위치에서 계산합니다. 흰 여백은 주 점수에서 제외합니다. 각 계열 한 장씩 동일 가중 평균입니다.", "aggregation": "표시 필터와 무관하게 전체 8개 예시를 같은 비중으로 평균한 값입니다. 8장 추론이 모두 끝난 모델만 평균을 표시합니다.", "color": "파란쪽 편향 = ΔB − (ΔR+ΔG)/2. 불투명 내부의 미지 픽셀에서 계산하며 +는 상대적으로 파란 방향입니다. 지각 색차 점수가 아니므로 0에 가깝다고 형태·색이 정확하다는 뜻은 아닙니다.", "anchors": "고정점 MAE는 HR의 [2::4,2::4] 위치와 입력 RGB의 차이입니다. 원본 바이트를 덮어쓰지 않은 실제 출력으로 검사합니다.", "seed": "기준 시드 20260912로 고정한 한 번의 실행입니다. 일부 모델은 배치 번호를 더하며 실제 규칙은 실행 설정에 기록했습니다. 여러 난수 시드의 반복 평균이 아닙니다.", "device": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition, 96GB. 같은 GPU에서 모델들을 순차 실행했습니다.", "precision": "GAN·ResShift·DiT-SR은 FP32. RePaint·OpenAI 업샘플러는 공식 FP16 모델 경로를 사용하고 RePaint 분류기는 FP32입니다. 모델별 공식 설정과 실행 환경을 함께 기록합니다.", "timing": "모델 로드·PNG 저장·워밍업을 제외하고 GPU를 모델끼리 겹치지 않게 사용했습니다. RePaint는 4장 배치의 시간÷4로, 단일 입력 지연시간이 아닙니다. 나머지 학습 모델은 1장씩 실행했습니다. GAN은 forward, 확산은 샘플링·필요한 VQGAN 복원을 포함하므로 속도 차이를 구조만의 차이로 해석하지 않습니다.", "limitations": "일부 공개 모델은 사진·ImageNet으로 학습됐습니다. 특히 RePaint와 OpenAI SR의 클래스 번호는 도트 캐릭터에 대응하는 정답 클래스가 아닙니다. 원 DiT·PixelDiT는 공개 가중치가 일반 생성용이라 제외했고, SR3 공식 가중치는 확인하지 못했습니다." }, "models": [ { "id": "nearest", "label": "Nearest", "family": "보간", "source_url": "", "note": "입력 픽셀을 4×4로 복사. 학습 모델 아님.", "status": "completed", "aggregate": { "psnr": 12.628442547222997, "full_psnr": 17.69181992272872, "mae_rgb8": 32.130714620230435, "foreground_mae8": 32.130714620230435, "background_mae8": 2.7943062319762557, "blue_excess8": 0.4541570719268516, "anchor_mae8": 0.0, "anchor_max8": 0.0, "elapsed_s": null }, "completed_samples": 8, "timing_note": "측정 제외", "checkpoint_url": "", "provenance": { "params": { "scale": 4, "method": "nearest" } } }, { "id": "bicubic", "label": "Bicubic", "family": "보간", "source_url": "", "note": "Pillow bicubic 보간. 학습 모델 아님.", "status": "completed", "aggregate": { "psnr": 13.78894844337225, "full_psnr": 19.114490730609926, "mae_rgb8": 33.183371984292286, "foreground_mae8": 33.183371984292286, "background_mae8": 3.3498833420616823, "blue_excess8": 0.8149317914647344, "anchor_mae8": 1.9929606119791667, "anchor_max8": 41.75, "elapsed_s": null }, "completed_samples": 8, "timing_note": "측정 제외", "checkpoint_url": "", "provenance": { "params": { "scale": 4, "method": "bicubic" } } }, { "id": "esrgan", "label": "ESRGAN", "family": "GAN", "source_url": "https://github.com/xinntao/ESRGAN", "note": "공식 4배 가중치. 거친 출력도 보정하지 않음. 골렘 1장을 공식 구현으로 대조해 RGB 최대 차이 1/255 확인.", "status": "completed", "aggregate": { "psnr": 8.43177982544341, "full_psnr": 14.688832879458339, "mae_rgb8": 73.8719029757236, "foreground_mae8": 73.8719029757236, "background_mae8": 2.80281929417889, "blue_excess8": 4.629631770174419, "anchor_mae8": 13.044586181640625, "anchor_max8": 241.75, "elapsed_s": 0.03319446938257897 }, "completed_samples": 8, "timing_note": "단일 이미지", "checkpoint_url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth", "provenance": { "checkpoint_sha256": "ff704c30ff560305e48ed1f4db895e525ab6bc81a46fafe80c0094a271c806d9", "checkpoint_url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth", "params": { "scale": 4, "precision": "float32", "tf32": false, "seed": 20260912, "alpha": "white RGB composite; no alpha prediction", "anchor_postprocess": false, "tile": false }, "torch": "2.10.0+cu128", "spandrel": "0.4.2", "implementation": "Spandrel RRDBNet checkpoint loader", "timing": "warmup excluded; synchronized single-image GPU forward, no model load or PNG I/O", "official_implementation_check": { "source": "https://github.com/xinntao/ESRGAN/blob/master/RRDBNet_arch.py", "source_sha256": "0ef92981019fe1527e2570faebaee29c28bdee14094603bd963cd6651a456153", "checkpoint_sha256": "ff704c30ff560305e48ed1f4db895e525ab6bc81a46fafe80c0094a271c806d9", "sample_id": "9305310", "strict_state_dict_load": true, "checkpoint_tensor_count": 702, "rename_only": true, "raw_min": -1.5105503797531128, "raw_max": 2.894482374191284, "clipped_fraction": 0.6517690022786459, "psnr_rgb_full": 11.786851355705611, "previous_output_max_byte_difference": 1, "previous_output_mean_byte_difference": 8.646647135416667e-05, "previous_output_different_channel_count": 17, "torch": "2.10.0+cu128", "precision": "float32", "tf32": false, "device": "cpu" } } }, { "id": "realesrgan", "label": "Real-ESRGAN 일반", "family": "GAN", "source_url": "https://github.com/xinntao/Real-ESRGAN", "note": "RealESRGAN_x4plus 공식 가중치.", "status": "completed", "aggregate": { "psnr": 12.688858283665617, "full_psnr": 18.222503842845185, "mae_rgb8": 38.00556998169079, "foreground_mae8": 38.00556998169079, "background_mae8": 2.5948616662653468, "blue_excess8": -1.7176171487158327, "anchor_mae8": 4.457366943359375, "anchor_max8": 171.5, "elapsed_s": 0.04423481924459338 }, "completed_samples": 8, "timing_note": "단일 이미지", "checkpoint_url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth", "provenance": { "checkpoint_sha256": "4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1", "checkpoint_url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth", "params": { "scale": 4, "precision": "float32", "tf32": false, "seed": 20260912, "alpha": "white RGB composite; no alpha prediction", "anchor_postprocess": false, "tile": false }, "torch": "2.10.0+cu128", "spandrel": "0.4.2", "implementation": "Spandrel RRDBNet checkpoint loader", "timing": "warmup excluded; synchronized single-image GPU forward, no model load or PNG I/O", "official_checkpoint_download_verification": { "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth", "sha256": "4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1", "bytes": 67040989, "matches_local": true } } }, { "id": "realesrgan_anime", "label": "Real-ESRGAN 애니", "family": "GAN", "source_url": "https://github.com/xinntao/Real-ESRGAN", "note": "애니용 6 RRDB, 공식 4배 가중치.", "status": "completed", "aggregate": { "psnr": 12.093413358221564, "full_psnr": 17.781989732184137, "mae_rgb8": 41.10572808205838, "foreground_mae8": 41.10572808205838, "background_mae8": 2.5581877189049447, "blue_excess8": -0.9938007541214628, "anchor_mae8": 5.946736653645834, "anchor_max8": 225.125, "elapsed_s": 0.013561656123783905 }, "completed_samples": 8, "timing_note": "단일 이미지", "checkpoint_url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth", "provenance": { "checkpoint_sha256": "f872d837d3c90ed2e05227bed711af5671a6fd1c9f7d7e91c911a61f155e99da", "checkpoint_url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth", "params": { "scale": 4, "precision": "float32", "tf32": false, "seed": 20260912, "alpha": "white RGB composite; no alpha prediction", "anchor_postprocess": false, "tile": false }, "torch": "2.10.0+cu128", "spandrel": "0.4.2", "implementation": "Spandrel RRDBNet checkpoint loader", "timing": "warmup excluded; synchronized single-image GPU forward, no model load or PNG I/O", "official_checkpoint_download_verification": { "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth", "sha256": "f872d837d3c90ed2e05227bed711af5671a6fd1c9f7d7e91c911a61f155e99da", "bytes": 17938799, "matches_local": true } } }, { "id": "animesharp", "label": "AnimeSharp V1", "family": "GAN", "source_url": "https://huggingface.co/Kim2091/AnimeSharp", "note": "Kim2091의 ESRGAN 기반 4배 가중치. 별도 원논문 모델은 아님.", "status": "completed", "aggregate": { "psnr": 12.997139968791103, "full_psnr": 18.59798132074339, "mae_rgb8": 35.81108648611965, "foreground_mae8": 35.81108648611965, "background_mae8": 2.510691160943142, "blue_excess8": 1.8155148993810297, "anchor_mae8": 3.433258056640625, "anchor_max8": 115.5, "elapsed_s": 0.044421685866836924 }, "completed_samples": 8, "timing_note": "단일 이미지", "checkpoint_url": "https://huggingface.co/Kim2091/AnimeSharp/resolve/main/4x-AnimeSharp.pth", "provenance": { "checkpoint_sha256": "e7a7de2dafd7331c1992862bbbcd9e9712a9f9f8e6303f0aaa59b4341d359bab", "checkpoint_url": "https://huggingface.co/Kim2091/AnimeSharp/resolve/main/4x-AnimeSharp.pth", "params": { "scale": 4, "precision": "float32", "tf32": false, "seed": 20260912, "alpha": "white RGB composite; no alpha prediction", "anchor_postprocess": false, "tile": false }, "torch": "2.10.0+cu128", "spandrel": "0.4.2", "implementation": "Spandrel RRDBNet checkpoint loader", "timing": "warmup excluded; synchronized single-image GPU forward, no model load or PNG I/O" } }, { "id": "swinir", "label": "SwinIR-M x4", "family": "Transformer SR", "source_url": "https://github.com/JingyunLiang/SwinIR", "note": "공식 classical SR DF2K x4 가중치. 나중에 추가한 열이며 이 프로젝트의 미세조정 출발점.", "status": "completed", "aggregate": { "psnr": 10.418874062506497, "full_psnr": 16.420904202168735, "mae_rgb8": 54.86603084800883, "foreground_mae8": 54.86603084800883, "background_mae8": 2.7344766954288326, "blue_excess8": 0.9227127700943396, "anchor_mae8": 7.800821940104167, "anchor_max8": 174.0, "elapsed_s": 0.09832802100572735 }, "completed_samples": 8, "timing_note": "단일 이미지", "checkpoint_url": "https://github.com/JingyunLiang/SwinIR/releases/download/v0.0/001_classicalSR_DF2K_s64w8_SwinIR-M_x4.pth", "provenance": { "checkpoint_sha256": "4e78e33f22c1aa8a773db0cf4a7381bae97c2362c717f155439ebc690cbd9215", "checkpoint_url": "https://github.com/JingyunLiang/SwinIR/releases/download/v0.0/001_classicalSR_DF2K_s64w8_SwinIR-M_x4.pth", "params": { "scale": 4, "precision": "float32", "tf32": false, "seed": 20260912, "alpha": "white RGB composite; no alpha prediction", "anchor_postprocess": false, "tile": false }, "torch": "2.10.0+cu128", "implementation": "official network_swinir.py, classical SR DF2K-M, official flip padding", "timing": "warmup excluded; synchronized single-image forward" } }, { "id": "resshift_v1", "label": "ResShift v1 · 15단계", "family": "디퓨전 SR", "source_url": "https://github.com/zsyOAOA/ResShift", "note": "원 논문 v1 가중치, Swin U-Net·VQGAN. 순수 CNN 모델은 아님.", "status": "completed", "aggregate": { "psnr": 13.216212879972884, "full_psnr": 18.42579749670861, "mae_rgb8": 36.858049919860555, "foreground_mae8": 36.858049919860555, "background_mae8": 3.656568480595838, "blue_excess8": 0.2360293395973838, "anchor_mae8": 6.301981608072917, "anchor_max8": 198.0, "elapsed_s": 0.5924267765149125 }, "completed_samples": 8, "timing_note": "단일 이미지", "checkpoint_url": "https://github.com/zsyOAOA/ResShift/releases/download/v2.0/resshift_realsrx4_s15_v1.pth", "provenance": { "checkpoint_sha256": "97eca0d415b2faa90dfe93ee44bd8cf3ee60ee1e560f95b3b3f544d0aabb948b", "checkpoint_url": "https://github.com/zsyOAOA/ResShift/releases/download/v2.0/resshift_realsrx4_s15_v1.pth", "autoencoder_sha256": "e967eaa2c380152811c53e312990d6967a8a957c4f7590f19490ec72110b2889", "revision": "bb03b7d21614cace01787e097c8a6ab6b945227d", "config": "configs/realsr_swinunet_realesrgan256.yaml", "params": { "precision": "float32", "use_amp": false, "batch_size": 1, "steps": 15, "mask": null, "input_range": [ -1, 1 ], "seed_reset_per_sample": true, "color_or_anchor_postprocessing": false, "model_parameters": 118593583, "autoencoder_parameters": 55322782, "actual_model_dtype": "torch.float32", "actual_autoencoder_dtype": "torch.float32" }, "runtime": { "python": "3.11.14 (main, Jan 29 2026, 23:36:34) [GCC 13.3.0]", "torch": "2.10.0+cu128", "cuda": "12.8", "gpu": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition", "xformers": false, "attention": "official non-xformers fallback" }, "compatibility_patches": [], "timing_scope": "CUDA synchronized sampler including VQGAN encode/decode; excludes IO and one warmup", "source": "https://github.com/zsyOAOA/ResShift", "errors": [] } }, { "id": "resshift_v3", "label": "ResShift v3 · 4단계", "family": "디퓨전 SR", "source_url": "https://github.com/zsyOAOA/ResShift", "note": "저널 확장 v3의 별도 가중치. v1의 단계 수만 줄인 결과가 아님.", "status": "completed", "aggregate": { "psnr": 13.470423478712519, "full_psnr": 18.80749183564324, "mae_rgb8": 35.68441255531507, "foreground_mae8": 35.68441255531507, "background_mae8": 3.3782201208516014, "blue_excess8": 2.3123949931638155, "anchor_mae8": 5.856404622395834, "anchor_max8": 178.75, "elapsed_s": 0.17419052287732484 }, "completed_samples": 8, "timing_note": "단일 이미지", "checkpoint_url": "https://github.com/zsyOAOA/ResShift/releases/download/v2.0/resshift_realsrx4_s4_v3.pth", "provenance": { "checkpoint_sha256": "878da888bbbe10b8b0d4ff179c2de3059fd8a4cf2c705942a77a7f3b23ea1efd", "checkpoint_url": "https://github.com/zsyOAOA/ResShift/releases/download/v2.0/resshift_realsrx4_s4_v3.pth", "autoencoder_sha256": 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