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Models/FGT++

FGT++

Reported on 18 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology9 results

  • 3DonDAVIS
    LPIPS (object)· 2023-01-24
    0.035
    best: 0.027 (FGT++*)
    SOTA
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • 3DonDAVIS
    LPIPS (square)· 2023-01-24
    0.028
    best: 0.022 (FGT++*)
    SOTA
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • 3DonYouTube-VOS
    LPIPS· 2023-01-24
    0.025
    best: 0.022 (FGT++*)
    SOTA
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • 3DonDAVIS
    PNSR (object)· 2023-01-24
    35.61
    best: 35.9 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • 3DonDAVIS
    SSIM (object)· 2023-01-24
    0.961
    best: 96.8 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • 3DonDAVIS
    SSIM (square)· 2023-01-24
    0.971
    best: 97.6 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • 3DonYouTube-VOS
    PSNR· 2023-01-24
    35.02
    best: 35.36 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • 3DonYouTube-VOS
    PSNR (square)· 2023-01-24
    33.18
    best: 33.72 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • 3DonYouTube-VOS
    SSIM· 2023-01-24
    97.6
    best: 97.8 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048

Computer Vision9 results

  • Video InpaintingonDAVIS
    LPIPS (object)· 2023-01-24
    0.035
    best: 0.027 (FGT++*)
    SOTA
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • Video InpaintingonDAVIS
    LPIPS (square)· 2023-01-24
    0.028
    best: 0.022 (FGT++*)
    SOTA
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • Video InpaintingonYouTube-VOS
    LPIPS· 2023-01-24
    0.025
    best: 0.022 (FGT++*)
    SOTA
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • Video InpaintingonDAVIS
    PNSR (object)· 2023-01-24
    35.61
    best: 35.9 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • Video InpaintingonDAVIS
    SSIM (object)· 2023-01-24
    0.961
    best: 96.8 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • Video InpaintingonDAVIS
    SSIM (square)· 2023-01-24
    0.971
    best: 97.6 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • Video InpaintingonYouTube-VOS
    PSNR· 2023-01-24
    35.02
    best: 35.36 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • Video InpaintingonYouTube-VOS
    PSNR (square)· 2023-01-24
    33.18
    best: 33.72 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048
  • Video InpaintingonYouTube-VOS
    SSIM· 2023-01-24
    97.6
    best: 97.8 (FGT++*)
    Exploiting Optical Flow Guidance for Transformer-Based Video InpaintingarXiv:2301.10048