{ "title": "공개 모델로 다시 키운 메이플 도트 · 2배", "created_at": "2026-09-15T02:33:41.462393+00:00", "scale": 2, "protocol": { "summary": "2배 비교입니다. 검증 계열 8종과 사용자 지정 추가 표본 1종(개조 당한 허세로이드)을 288×288 정답에서 Bicubic으로 144×144로 줄여 각 모델에 넣었습니다. 추가 표본은 평균에 넣지 않습니다. 이전 4배(nearest 축소) 기록은 x4/ 에 보존했습니다.", "scale": "2배 (144 → 288)", "hr_size": 288, "lr_size": 144, "sample_count": "평균 8종 + 추가 1종(개조 당한 허세로이드)", "downscale": "원본 전경을 자르거나 확대하지 않고 256×256 중앙 배치 → 사방 16px 흰 여백으로 288 → Pillow BICUBIC으로 144×144.", "alpha": "모든 모델이 같은 흰색 RGB 입력을 받습니다. 결과도 모델의 RGB 출력 그대로이며 알파 복원·색 보정은 하지 않았습니다. 원본 알파는 점수의 전경 영역을 고르는 데만 씁니다.", "metrics": "PSNR(dB, 높을수록 정답에 가까움)과 RGB MAE(8비트, 낮을수록 좋음)는 원본 알파>0인 전경 전체에서 계산합니다. 배율이 2라 고정점(앵커) 항목은 없습니다.", "aggregation": "표시 필터와 무관하게 검증 8종을 같은 비중으로 평균한 값입니다. 추가 표본은 개별 점수만 표시합니다.", "models": "전용 2배 가중치: SwinIR-M x2(DF2K), Real-ESRGAN x2plus. 나머지 GAN·확산 모델은 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄였습니다(카드 설명 참고). RePaint는 4배 마스크 검증 전용이라 제외했습니다.", "seed": "기준 시드 20260912. OpenAI SR은 표본별 seed=20260912+index, FP16, 250단계. 여러 시드의 반복 평균이 아닙니다.", "device": "NVIDIA RTX PRO 6000 Blackwell 96GB. 다른 프로젝트와 GPU를 공유한 시점이 있어 시간은 참고값입니다.", "limitations": "일부 공개 모델은 사진·ImageNet으로 학습됐습니다. OpenAI SR의 클래스 번호는 도트에 대응하는 정답 클래스가 아닙니다. 8종 평균은 모집단 전체의 순위가 아닙니다." }, "models": [ { "id": "nearest", "label": "Nearest", "family": "보간", "source_url": "", "note": "입력 픽셀을 4×4로 복사. 학습 모델 아님.", "status": "completed", "aggregate": { "psnr": 17.050451932850905, "full_psnr": 23.33932844918791, "mae_rgb8": 20.82235064965792, "foreground_mae8": 20.82235064965792, "background_mae8": 1.3560062184260433, "blue_excess8": 0.3466075127322617, "elapsed_s": null }, "completed_samples": 8, "timing_note": "측정 제외" }, { "id": "bicubic", "label": "Bicubic", "family": "보간", "source_url": "", "note": "Pillow bicubic 보간. 학습 모델 아님.", "status": "completed", "aggregate": { "psnr": 17.64751917971617, "full_psnr": 24.095081758985643, "mae_rgb8": 20.624972138110575, "foreground_mae8": 20.624972138110575, "background_mae8": 1.4294117600938088, "blue_excess8": 0.4122800528822461, "elapsed_s": null }, "completed_samples": 8, "timing_note": "측정 제외" }, { "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. 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄인 결과.", "status": "completed", "aggregate": { "psnr": 20.663669065512927, "full_psnr": 27.707131160758422, "mae_rgb8": 15.20545406773175, "foreground_mae8": 15.20545406773175, "background_mae8": 0.5417699578463342, "blue_excess8": 0.5437614161981242, "elapsed_s": 0.12320299624843756 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "id": "realesrgan", "label": "Real-ESRGAN 일반", "family": "GAN", "source_url": "https://github.com/xinntao/Real-ESRGAN", "note": "RealESRGAN_x4plus 공식 가중치. 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄인 결과.", "status": "completed", "aggregate": { "psnr": 18.917301224548453, "full_psnr": 25.743951548206994, "mae_rgb8": 18.972572493045327, "foreground_mae8": 18.972572493045327, "background_mae8": 0.7594705847044626, "blue_excess8": -2.2687353897484903, "elapsed_s": 0.12425790249108104 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "id": "realesrgan_anime", "label": "Real-ESRGAN 애니", "family": "GAN", "source_url": "https://github.com/xinntao/Real-ESRGAN", "note": "애니용 6 RRDB, 공식 4배 가중치. 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄인 결과.", "status": "completed", "aggregate": { "psnr": 18.602015369164743, "full_psnr": 25.69536054551836, "mae_rgb8": 19.509729237193362, "foreground_mae8": 19.509729237193362, "background_mae8": 0.9519479306969203, "blue_excess8": -0.6357746489803158, "elapsed_s": 0.037391946236311924 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "id": "animesharp", "label": "AnimeSharp V1", "family": "GAN", "source_url": "https://huggingface.co/Kim2091/AnimeSharp", "note": "Kim2091의 ESRGAN 기반 4배 가중치. 별도 원논문 모델은 아님. 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄인 결과.", "status": "completed", "aggregate": { "psnr": 20.181077446482465, "full_psnr": 27.13150535999226, "mae_rgb8": 15.796365180848628, "foreground_mae8": 15.796365180848628, "background_mae8": 0.6487611570480945, "blue_excess8": -0.003720159320673627, "elapsed_s": 0.12458563649124699 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "id": "realesrgan_native2", "label": "Real-ESRGAN x2plus", "family": "GAN", "source_url": "https://github.com/xinntao/Real-ESRGAN", "note": "공식 전용 2배 가중치. 144 → 288 직접 출력.", "status": "completed", "aggregate": { "psnr": 17.84403577825328, "full_psnr": 24.681809341939044, "mae_rgb8": 21.779861795007953, "foreground_mae8": 21.779861795007953, "background_mae8": 0.8325009716180163, "blue_excess8": -1.706875401805389, "elapsed_s": 0.15086243212135741 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "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. 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄인 결과.", "status": "completed", "aggregate": { "psnr": 19.147430972762045, "full_psnr": 25.832002471324063, "mae_rgb8": 18.630372819166944, "foreground_mae8": 18.630372819166944, "background_mae8": 1.5246033531484444, "blue_excess8": -1.2213234397830388, "elapsed_s": 2.228394936748373 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "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. 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄인 결과.", "status": "completed", "aggregate": { "psnr": 19.225563939395318, "full_psnr": 25.942786276949235, "mae_rgb8": 18.28407313678617, "foreground_mae8": 18.28407313678617, "background_mae8": 1.4788194747760581, "blue_excess8": 1.0968093021643504, "elapsed_s": 1.9918749129865319 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "id": "dit_sr", "label": "DiT-SR · 15단계", "family": "Transformer SR", "source_url": "https://github.com/kunncheng/DiT-SR", "note": "공식 realsr 가중치, VQGAN 압축 공간. 직접 학습한 작은 RGBA DiT와 별개. 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄인 결과.", "status": "completed", "aggregate": { "psnr": 18.839797008186988, "full_psnr": 25.43048276961957, "mae_rgb8": 19.442138473037094, "foreground_mae8": 19.442138473037094, "background_mae8": 1.6340802932850096, "blue_excess8": 0.2856697587138072, "elapsed_s": 5.246334118877712 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "id": "guided_sr", "label": "OpenAI 64→256 SR", "family": "U-Net 디퓨전 SR", "source_url": "https://github.com/openai/guided-diffusion#upsampling", "note": "공식 ImageNet 클래스 조건 업샘플러. 실제 캐릭터 분류 없이 고정 시드 임의 클래스를 사용. 4배 가중치를 144 입력에 적용해 576을 만든 뒤 LANCZOS로 288로 줄인 결과.", "status": "completed", "aggregate": { "psnr": 20.575562965720653, "full_psnr": 27.25622516682384, "mae_rgb8": 15.121085701378025, "foreground_mae8": 15.121085701378025, "background_mae8": 1.6592269310956962, "blue_excess8": 0.22910117181401055, "elapsed_s": 84.22709446262888 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" }, { "id": "swinir", "label": "SwinIR-M x2", "family": "회귀 Transformer", "source_url": "https://github.com/JingyunLiang/SwinIR", "note": "공식 classical SR DF2K x2 가중치. 144 → 288 직접 출력. 이 프로젝트 미세조정의 출발점.", "status": "completed", "aggregate": { "psnr": 22.34363643715767, "full_psnr": 29.294030825439254, "mae_rgb8": 11.867205482274592, "foreground_mae8": 11.867205482274592, "background_mae8": 0.41076578267052444, "blue_excess8": 0.13497430948034134, "elapsed_s": 0.4951585501257796 }, "completed_samples": 8, "timing_note": "단일 이미지 · GPU 공유 시점 있음" } ], "samples": [ { "id": "8250008", "label": "개조 당한 허세로이드", "family": "extra_8250008", "hr": "assets/8250008/hr.png", "lr": "assets/8250008/lr.png", "rgba": "assets/8250008/original_rgba.png", "family_label": "원본 전경 166×182 · 288×288 패딩 · 추가 표본", "source_relative": "mobs/8250008/stand_0.png", "source_sha256": "ec4d8f6041f86557177bea6f9bd7df038b7815bc6bb0ee3deca5ae69a64f38e8", "sprite_size": [ 166, 182 ], "outputs": { "nearest": { "image": "assets/8250008/nearest.png", "metrics": { "psnr": 18.163410887422703, "full_psnr": 22.81878552354253, "mae_rgb8": 15.379343568359868, "foreground_mae8": 15.379343568359868, "background_mae8": 1.175646830530401, "blue_excess8": 0.20975402459754033, "rgb_delta8": [ -1.1099390060993901, -0.8002199780021998, -0.7453254674532547 ], "foreground_pixels": 21104, "elapsed_s": null }, "status": "completed" }, "bicubic": { "image": "assets/8250008/bicubic.png", "metrics": { "psnr": 18.527354108327504, "full_psnr": 23.364924171704335, "mae_rgb8": 15.585560399292394, "foreground_mae8": 15.585560399292394, "background_mae8": 1.2527598102630444, "blue_excess8": 0.24770022997700236, "rgb_delta8": [ -1.3545645435456455, -0.9752524747525247, -0.9172082791720828 ], "foreground_pixels": 21104, "elapsed_s": null }, "status": "completed" }, "esrgan": { "image": "assets/8250008/esrgan.png", "metrics": { "psnr": 22.25518347205987, "full_psnr": 27.49283075926188, "mae_rgb8": 10.287907505686126, "foreground_mae8": 10.287907505686126, "background_mae8": 0.46836459680896936, "blue_excess8": -1.1452854714528549, "rgb_delta8": [ 0.9579042095790421, 1.4652534746525347, 0.06629337066293371 ], "foreground_pixels": 21104, "elapsed_s": 0.04434052703436464 }, "status": "completed", "raw": "assets/8250008/esrgan_raw.png", "raw_size": [ 576, 576 ] }, "realesrgan": { "image": "assets/8250008/realesrgan.png", "metrics": { "psnr": 20.41308093346182, "full_psnr": 25.350787853072404, "mae_rgb8": 13.60058124842052, "foreground_mae8": 13.60058124842052, "background_mae8": 0.6928848641655886, "blue_excess8": -2.2178282171782824, "rgb_delta8": [ 0.6383361663833617, 0.0397960203979602, -1.8787621237876213 ], "foreground_pixels": 21104, "elapsed_s": 0.04444075596984476 }, "status": "completed", "raw": "assets/8250008/realesrgan_raw.png", "raw_size": [ 576, 576 ] }, 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"assets/8250008/animesharp_raw.png", "raw_size": [ 576, 576 ] }, "realesrgan_native2": { "image": "assets/8250008/realesrgan_native2.png", "metrics": { "psnr": 19.144949919491026, "full_psnr": 24.25255178000933, "mae_rgb8": 15.634950720242609, "foreground_mae8": 15.634950720242609, "background_mae8": 0.6396399310047435, "blue_excess8": -1.5055494450554945, "rgb_delta8": [ -1.052944705529447, -1.2572242775722429, -2.6606339366063394 ], "foreground_pixels": 21104, "elapsed_s": 0.057392415939830244 }, "status": "completed" }, "resshift_v1": { "image": "assets/8250008/resshift_v1.png", "metrics": { "psnr": 20.31055969462484, "full_psnr": 25.215225916491583, "mae_rgb8": 14.039486985089715, "foreground_mae8": 14.039486985089715, "background_mae8": 0.7991806813281587, "blue_excess8": -0.5457954204579543, "rgb_delta8": [ 3.5643435656434357, -0.9515048495150485, 0.7606239376062394 ], "foreground_pixels": 21104, "elapsed_s": 2.2415449100080878 }, "status": "completed", "raw": "assets/8250008/resshift_v1_raw.png", "raw_size": [ 576, 576 ] }, "resshift_v3": { "image": "assets/8250008/resshift_v3.png", "metrics": { "psnr": 20.46226492160118, "full_psnr": 25.386491653739508, "mae_rgb8": 13.052280768258782, "foreground_mae8": 13.052280768258782, "background_mae8": 0.8135996119016817, "blue_excess8": 1.5135236476352365, "rgb_delta8": [ -0.7773222677732227, 0.18583141685831417, 1.2177782221777822 ], "foreground_pixels": 21104, "elapsed_s": 0.859060144983232 }, "status": "completed", "raw": "assets/8250008/resshift_v3_raw.png", "raw_size": [ 576, 576 ] }, "dit_sr": { "image": "assets/8250008/dit_sr.png", "metrics": { "psnr": 20.557017812124876, "full_psnr": 25.266301613665867, "mae_rgb8": 13.502100707606774, "foreground_mae8": 13.502100707606774, "background_mae8": 1.1490243639499784, "blue_excess8": 0.5794170582941707, "rgb_delta8": [ 3.307019298070193, -0.8397160283971603, 1.813068693130687 ], "foreground_pixels": 21104, "elapsed_s": 5.3527329919161275 }, 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