felixleungsc/paperswithcode-data-evaluation-tables

task_path stringlengths 3 199 ⌀	dataset stringlengths 1 128 ⌀	model_name stringlengths 1 223 ⌀	paper_url stringlengths 21 601 ⌀	metric_name stringlengths 1 50 ⌀	metric_value stringlengths 1 9.22k ⌀
16k > Image Super-Resolution	BSD100 - 2x upscaling	CPAT+	https://arxiv.org/abs/2407.16232v2	PSNR	32.66
16k > Image Super-Resolution	BSD100 - 2x upscaling	CPAT+	https://arxiv.org/abs/2407.16232v2	SSIM	0.9058
16k > Image Super-Resolution	BSD100 - 2x upscaling	CPAT	https://arxiv.org/abs/2407.16232v2	PSNR	32.64
16k > Image Super-Resolution	BSD100 - 2x upscaling	CPAT	https://arxiv.org/abs/2407.16232v2	SSIM	0.9056
16k > Image Super-Resolution	BSD100 - 2x upscaling	SwinFIR	https://arxiv.org/abs/2208.11247v3	PSNR	32.64
16k > Image Super-Resolution	BSD100 - 2x upscaling	SwinFIR	https://arxiv.org/abs/2208.11247v3	SSIM	0.9054
16k > Image Super-Resolution	BSD100 - 2x upscaling	IPT	https://arxiv.org/abs/2012.00364v4	PSNR	32.48
16k > Image Super-Resolution	BSD100 - 2x upscaling	DRLN+	https://arxiv.org/abs/1906.12021v2	PSNR	32.47
16k > Image Super-Resolution	BSD100 - 2x upscaling	DRLN+	https://arxiv.org/abs/1906.12021v2	SSIM	0.9032
16k > Image Super-Resolution	BSD100 - 2x upscaling	HAN+	https://arxiv.org/abs/2008.08767v1	PSNR	32.45
16k > Image Super-Resolution	BSD100 - 2x upscaling	HAN+	https://arxiv.org/abs/2008.08767v1	SSIM	0.8431
16k > Image Super-Resolution	BSD100 - 2x upscaling	LTE	https://arxiv.org/abs/2111.08918v6	PSNR	32.44
16k > Image Super-Resolution	BSD100 - 2x upscaling	CSNLN	https://arxiv.org/abs/2006.01424v1	PSNR	32.4
16k > Image Super-Resolution	BSD100 - 2x upscaling	CSNLN	https://arxiv.org/abs/2006.01424v1	SSIM	0.9024
16k > Image Super-Resolution	BSD100 - 2x upscaling	SwinOIR	https://arxiv.org/abs/2303.09190v2	PSNR	32.34
16k > Image Super-Resolution	BSD100 - 2x upscaling	SwinOIR	https://arxiv.org/abs/2303.09190v2	SSIM	0.9022
16k > Image Super-Resolution	BSD100 - 2x upscaling	HBPN	https://arxiv.org/abs/1906.06874v2	PSNR	32.33
16k > Image Super-Resolution	BSD100 - 2x upscaling	HBPN	https://arxiv.org/abs/1906.06874v2	SSIM	0.902
16k > Image Super-Resolution	BSD100 - 2x upscaling	SRFBN	https://arxiv.org/abs/1903.09814v2	PSNR	32.29
16k > Image Super-Resolution	BSD100 - 2x upscaling	MWCNN	http://arxiv.org/abs/1805.07071v2	PSNR	32.23
16k > Image Super-Resolution	BSD100 - 2x upscaling	IMDN	https://arxiv.org/abs/1909.11856v1	PSNR	32.19
16k > Image Super-Resolution	BSD100 - 2x upscaling	FALSR-A	https://arxiv.org/abs/1901.07261v3	PSNR	32.12
16k > Image Super-Resolution	BSD100 - 2x upscaling	CARN [[Ahn et al.2018]]	http://arxiv.org/abs/1803.08664v5	PSNR	32.09
16k > Image Super-Resolution	BSD100 - 2x upscaling	RED30	http://arxiv.org/abs/1606.08921v3	PSNR	31.99
16k > Image Super-Resolution	BSD100 - 2x upscaling	RED30	http://arxiv.org/abs/1606.08921v3	SSIM	0.8974
16k > Image Super-Resolution	BSD100 - 2x upscaling	LFFN-S	http://arxiv.org/abs/1902.05694v2	PSNR	31.96
16k > Image Super-Resolution	BSD100 - 2x upscaling	DnCNN-3	http://arxiv.org/abs/1608.03981v1	PSNR	31.9
16k > Image Super-Resolution	BSD100 - 2x upscaling	RC-Net	https://arxiv.org/abs/1910.08853v1	PSNR	31.86
16k > Image Super-Resolution	BSD100 - 2x upscaling	DRCN [[Kim et al.2016b]]	http://arxiv.org/abs/1511.04491v2	PSNR	31.85
16k > Image Super-Resolution	BSD100 - 2x upscaling	FSRCNN [[Dong et al.2016]]	http://arxiv.org/abs/1608.00367v1	PSNR	31.53
16k > Image Super-Resolution	3x upscaling	ML-CrAIST	https://arxiv.org/abs/2408.09940v1	#params (K)	1268
16k > Image Super-Resolution	3x upscaling	ML-CrAIST	https://arxiv.org/abs/2408.09940v1	FLOPs(G)	84.1
16k > Image Super-Resolution	3x upscaling	ML-CrAIST-Li	https://arxiv.org/abs/2408.09940v1	#params (K)	749
16k > Image Super-Resolution	3x upscaling	ML-CrAIST-Li	https://arxiv.org/abs/2408.09940v1	FLOPs(G)	49.6
16k > Image Super-Resolution	KITTI 2012 - 4x upscaling	PASSRnet	http://arxiv.org/abs/1903.05784v3	PSNR	26.26
16k > Image Super-Resolution	ShipSpotting	StableShip	https://arxiv.org/abs/2403.18370v2	Frechet Inception Distance	11.72
16k > Image Super-Resolution	CUFED5 - 4x upscaling	Extracter-rec	https://arxiv.org/abs/2310.01379v1	PSNR	27.29
16k > Image Super-Resolution	CUFED5 - 4x upscaling	Extracter-rec	https://arxiv.org/abs/2310.01379v1	SSIM	0.811
16k > Image Super-Resolution	CUFED5 - 4x upscaling	SRNTT-l2	http://arxiv.org/abs/1903.00834v2	PSNR	26.24
16k > Image Super-Resolution	WebFace - 8x upscaling	GFRNet	http://arxiv.org/abs/1804.04829v2	PSNR	27.21
16k > Image Super-Resolution	WebFace - 8x upscaling	Full-GWAInet	https://arxiv.org/abs/1906.07078v1	PSNR	27.11
16k > Image Super-Resolution	WebFace - 8x upscaling	SRGAN	http://arxiv.org/abs/1609.04802v5	PSNR	24.49
16k > Image Super-Resolution	WebFace - 8x upscaling	VDSR	http://arxiv.org/abs/1511.04587v2	PSNR	23.65
16k > Image Super-Resolution	WebFace - 8x upscaling	CBN	http://arxiv.org/abs/1607.05046v1	PSNR	23.10
16k > Image Super-Resolution	WebFace - 8x upscaling	WaveletSR	http://openaccess.thecvf.com/content_iccv_2017/html/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.html	PSNR	21.63
16k > Image Super-Resolution	WebFace - 8x upscaling	TDAE	http://openaccess.thecvf.com/content_cvpr_2017/html/Yu_Hallucinating_Very_Low-Resolution_CVPR_2017_paper.html	PSNR	20.24
16k > Image Super-Resolution	Set14 - 3x upscaling	Hi-IR-L	https://arxiv.org/abs/2411.18588v1	PSNR	31.55
16k > Image Super-Resolution	Set14 - 3x upscaling	Hi-IR-L	https://arxiv.org/abs/2411.18588v1	SSIM	0.8616
16k > Image Super-Resolution	Set14 - 3x upscaling	HMA†	https://arxiv.org/abs/2405.05001v1	PSNR	31.47
16k > Image Super-Resolution	Set14 - 3x upscaling	HMA†	https://arxiv.org/abs/2405.05001v1	SSIM	0.8585
16k > Image Super-Resolution	Set14 - 3x upscaling	HAT-L	https://arxiv.org/abs/2205.04437v3	PSNR	31.47
16k > Image Super-Resolution	Set14 - 3x upscaling	HAT-L	https://arxiv.org/abs/2205.04437v3	SSIM	0.8584
16k > Image Super-Resolution	Set14 - 3x upscaling	HAT_FIR	https://arxiv.org/abs/2208.11247v3	PSNR	31.37
16k > Image Super-Resolution	Set14 - 3x upscaling	HAT	https://arxiv.org/abs/2205.04437v3	PSNR	31.33
16k > Image Super-Resolution	Set14 - 3x upscaling	HAT	https://arxiv.org/abs/2205.04437v3	SSIM	0.8576
16k > Image Super-Resolution	Set14 - 3x upscaling	SwinFIR	https://arxiv.org/abs/2208.11247v3	PSNR	31.24
16k > Image Super-Resolution	Set14 - 3x upscaling	SwinFIR	https://arxiv.org/abs/2208.11247v3	SSIM	0.8566
16k > Image Super-Resolution	Set14 - 3x upscaling	CPAT+	https://arxiv.org/abs/2407.16232v2	PSNR	31.19
16k > Image Super-Resolution	Set14 - 3x upscaling	CPAT+	https://arxiv.org/abs/2407.16232v2	SSIM	0.8559
16k > Image Super-Resolution	Set14 - 3x upscaling	CPAT	https://arxiv.org/abs/2407.16232v2	PSNR	31.15
16k > Image Super-Resolution	Set14 - 3x upscaling	CPAT	https://arxiv.org/abs/2407.16232v2	SSIM	0.8557
16k > Image Super-Resolution	Set14 - 3x upscaling	IPT	https://arxiv.org/abs/2012.00364v4	PSNR	30.85
16k > Image Super-Resolution	Set14 - 3x upscaling	DRLN+	https://arxiv.org/abs/1906.12021v2	PSNR	30.8
16k > Image Super-Resolution	Set14 - 3x upscaling	DRLN+	https://arxiv.org/abs/1906.12021v2	SSIM	0.8498
16k > Image Super-Resolution	Set14 - 3x upscaling	LTE	https://arxiv.org/abs/2111.08918v6	PSNR	30.8
16k > Image Super-Resolution	Set14 - 3x upscaling	HAN+	https://arxiv.org/abs/2008.08767v1	PSNR	30.79
16k > Image Super-Resolution	Set14 - 3x upscaling	HAN+	https://arxiv.org/abs/2008.08767v1	SSIM	0.8487
16k > Image Super-Resolution	Set14 - 3x upscaling	CSNLN	https://arxiv.org/abs/2006.01424v1	PSNR	30.66
16k > Image Super-Resolution	Set14 - 3x upscaling	CSNLN	https://arxiv.org/abs/2006.01424v1	SSIM	0.8482
16k > Image Super-Resolution	Set14 - 3x upscaling	SwinOIR	https://arxiv.org/abs/2303.09190v2	PSNR	30.65
16k > Image Super-Resolution	Set14 - 3x upscaling	SwinOIR	https://arxiv.org/abs/2303.09190v2	SSIM	0.8493
16k > Image Super-Resolution	Set14 - 3x upscaling	ML-CrAIST	https://arxiv.org/abs/2408.09940v1	PSNR	30.39
16k > Image Super-Resolution	Set14 - 3x upscaling	ML-CrAIST	https://arxiv.org/abs/2408.09940v1	SSIM	0.8488
16k > Image Super-Resolution	Set14 - 3x upscaling	IMDN	https://arxiv.org/abs/1909.11856v1	PSNR	30.32
16k > Image Super-Resolution	Set14 - 3x upscaling	ML-CrAIST-Li	https://arxiv.org/abs/2408.09940v1	PSNR	30.23
16k > Image Super-Resolution	Set14 - 3x upscaling	ML-CrAIST-Li	https://arxiv.org/abs/2408.09940v1	SSIM	0.8474
16k > Image Super-Resolution	Set14 - 3x upscaling	MWCNN	http://arxiv.org/abs/1805.07071v2	PSNR	30.16
16k > Image Super-Resolution	Set14 - 3x upscaling	SRFBN	https://arxiv.org/abs/1903.09814v2	PSNR	30.1
16k > Image Super-Resolution	Set14 - 3x upscaling	LCSCNet	https://arxiv.org/abs/1909.03573v1	PSNR	29.87
16k > Image Super-Resolution	Set14 - 3x upscaling	DnCNN-3	http://arxiv.org/abs/1608.03981v1	PSNR	29.81
16k > Image Super-Resolution	Set14 - 3x upscaling	RED30	http://arxiv.org/abs/1606.08921v3	PSNR	29.61
16k > Image Super-Resolution	Set14 - 3x upscaling	RED30	http://arxiv.org/abs/1606.08921v3	SSIM	0.8341
16k > Image Super-Resolution	Set14 - 3x upscaling	PMRN+	https://arxiv.org/abs/2007.09552v4	PSNR	29.24
16k > Image Super-Resolution	Set14 - 3x upscaling	PMRN+	https://arxiv.org/abs/2007.09552v4	SSIM	0.8087
16k > Image Super-Resolution	Set14 - 3x upscaling	Deep CNN Denoiser	http://arxiv.org/abs/1704.03264v1	PSNR	27.72
16k > Image Super-Resolution	4x upscaling	ML-CrAIST	https://arxiv.org/abs/2408.09940v1	FLOPs(G)	42.9
16k > Image Super-Resolution	4x upscaling	ML-CrAIST	https://arxiv.org/abs/2408.09940v1	#params (K)	1280
16k > Image Super-Resolution	4x upscaling	ML-CrAIST-Li	https://arxiv.org/abs/2408.09940v1	FLOPs(G)	25.5
16k > Image Super-Resolution	4x upscaling	ML-CrAIST-Li	https://arxiv.org/abs/2408.09940v1	#params (K)	758
16k > Image Super-Resolution	USR-248 - 4x upscaling	SRDRM-GAN	https://arxiv.org/abs/1909.09437v3	PSNR	24.62
16k > Image Super-Resolution	USR-248 - 4x upscaling	SRDRM-GAN	https://arxiv.org/abs/1909.09437v3	SSIM	0.69
16k > Image Super-Resolution	USR-248 - 4x upscaling	SRDRM-GAN	https://arxiv.org/abs/1909.09437v3	UIQM	2.48
16k > Image Super-Resolution	ImageNet	DAVI	https://arxiv.org/abs/2407.16125v1	PSNR	26.58
16k > Image Super-Resolution	ImageNet	DAVI	https://arxiv.org/abs/2407.16125v1	FID	36.27
16k > Image Super-Resolution	ImageNet	DDNM	https://arxiv.org/abs/2212.00490v2	PSNR	27.46
16k > Image Super-Resolution	ImageNet	DDNM	https://arxiv.org/abs/2212.00490v2	SSIM	0.87
16k > Image Super-Resolution	ImageNet	DDNM	https://arxiv.org/abs/2212.00490v2	FID	39.26
16k > Image Super-Resolution	ImageNet	DDRM	https://arxiv.org/abs/2212.00490v2	PSNR	27.38
16k > Image Super-Resolution	ImageNet	DDRM	https://arxiv.org/abs/2212.00490v2	SSIM	0.869
16k > Image Super-Resolution	ImageNet	DDRM	https://arxiv.org/abs/2212.00490v2	FID	43.15

16k > Image Super-Resolution

BSD100 - 2x upscaling

CPAT+

https://arxiv.org/abs/2407.16232v2

PSNR

32.66

16k > Image Super-Resolution

BSD100 - 2x upscaling

CPAT+

https://arxiv.org/abs/2407.16232v2

SSIM

0.9058

16k > Image Super-Resolution

BSD100 - 2x upscaling

CPAT

https://arxiv.org/abs/2407.16232v2

PSNR

32.64

16k > Image Super-Resolution

BSD100 - 2x upscaling

CPAT

https://arxiv.org/abs/2407.16232v2

SSIM

0.9056

16k > Image Super-Resolution

BSD100 - 2x upscaling

SwinFIR

https://arxiv.org/abs/2208.11247v3

PSNR

32.64

16k > Image Super-Resolution

BSD100 - 2x upscaling

SwinFIR

https://arxiv.org/abs/2208.11247v3

SSIM

0.9054

16k > Image Super-Resolution

BSD100 - 2x upscaling

IPT

https://arxiv.org/abs/2012.00364v4

PSNR

32.48

16k > Image Super-Resolution

BSD100 - 2x upscaling

DRLN+

https://arxiv.org/abs/1906.12021v2

PSNR

32.47

16k > Image Super-Resolution

BSD100 - 2x upscaling

DRLN+

https://arxiv.org/abs/1906.12021v2

SSIM

0.9032

16k > Image Super-Resolution

BSD100 - 2x upscaling

HAN+

https://arxiv.org/abs/2008.08767v1

PSNR

32.45

16k > Image Super-Resolution

BSD100 - 2x upscaling

HAN+

https://arxiv.org/abs/2008.08767v1

SSIM

0.8431

16k > Image Super-Resolution

BSD100 - 2x upscaling

LTE

https://arxiv.org/abs/2111.08918v6

PSNR

32.44

16k > Image Super-Resolution

BSD100 - 2x upscaling

CSNLN

https://arxiv.org/abs/2006.01424v1

PSNR

32.4

16k > Image Super-Resolution

BSD100 - 2x upscaling

CSNLN

https://arxiv.org/abs/2006.01424v1

SSIM

0.9024

16k > Image Super-Resolution

BSD100 - 2x upscaling

SwinOIR

https://arxiv.org/abs/2303.09190v2

PSNR

32.34

16k > Image Super-Resolution

BSD100 - 2x upscaling

SwinOIR

https://arxiv.org/abs/2303.09190v2

SSIM

0.9022

16k > Image Super-Resolution

BSD100 - 2x upscaling

HBPN

https://arxiv.org/abs/1906.06874v2

PSNR

32.33

16k > Image Super-Resolution

BSD100 - 2x upscaling

HBPN

https://arxiv.org/abs/1906.06874v2

SSIM

0.902

16k > Image Super-Resolution

BSD100 - 2x upscaling

SRFBN

https://arxiv.org/abs/1903.09814v2

PSNR

32.29

16k > Image Super-Resolution

BSD100 - 2x upscaling

MWCNN

http://arxiv.org/abs/1805.07071v2

PSNR

32.23

16k > Image Super-Resolution

BSD100 - 2x upscaling

IMDN

https://arxiv.org/abs/1909.11856v1

PSNR

32.19

16k > Image Super-Resolution

BSD100 - 2x upscaling

FALSR-A

https://arxiv.org/abs/1901.07261v3

PSNR

32.12

16k > Image Super-Resolution

BSD100 - 2x upscaling

CARN [[Ahn et al.2018]]

http://arxiv.org/abs/1803.08664v5

PSNR

32.09

16k > Image Super-Resolution

BSD100 - 2x upscaling

RED30

http://arxiv.org/abs/1606.08921v3

PSNR

31.99

16k > Image Super-Resolution

BSD100 - 2x upscaling

RED30

http://arxiv.org/abs/1606.08921v3

SSIM

0.8974

16k > Image Super-Resolution

BSD100 - 2x upscaling

LFFN-S

http://arxiv.org/abs/1902.05694v2

PSNR

31.96

16k > Image Super-Resolution

BSD100 - 2x upscaling

DnCNN-3

http://arxiv.org/abs/1608.03981v1

PSNR

31.9

16k > Image Super-Resolution

BSD100 - 2x upscaling

RC-Net

https://arxiv.org/abs/1910.08853v1

PSNR

31.86

16k > Image Super-Resolution

BSD100 - 2x upscaling

DRCN [[Kim et al.2016b]]

http://arxiv.org/abs/1511.04491v2

PSNR

31.85

16k > Image Super-Resolution

BSD100 - 2x upscaling

FSRCNN [[Dong et al.2016]]

http://arxiv.org/abs/1608.00367v1

PSNR

31.53

16k > Image Super-Resolution

3x upscaling

ML-CrAIST

https://arxiv.org/abs/2408.09940v1

#params (K)

1268

16k > Image Super-Resolution

3x upscaling

ML-CrAIST

https://arxiv.org/abs/2408.09940v1

FLOPs(G)

84.1

16k > Image Super-Resolution

3x upscaling

ML-CrAIST-Li

https://arxiv.org/abs/2408.09940v1

#params (K)

749

16k > Image Super-Resolution

3x upscaling

ML-CrAIST-Li

https://arxiv.org/abs/2408.09940v1

FLOPs(G)

49.6

16k > Image Super-Resolution

KITTI 2012 - 4x upscaling

PASSRnet

http://arxiv.org/abs/1903.05784v3

PSNR

26.26

16k > Image Super-Resolution

ShipSpotting

StableShip

https://arxiv.org/abs/2403.18370v2

Frechet Inception Distance

11.72

16k > Image Super-Resolution

CUFED5 - 4x upscaling

Extracter-rec

https://arxiv.org/abs/2310.01379v1

PSNR

27.29

16k > Image Super-Resolution

CUFED5 - 4x upscaling

Extracter-rec

https://arxiv.org/abs/2310.01379v1

SSIM

0.811

16k > Image Super-Resolution

CUFED5 - 4x upscaling

SRNTT-l2

http://arxiv.org/abs/1903.00834v2

PSNR

26.24

16k > Image Super-Resolution

WebFace - 8x upscaling

GFRNet

http://arxiv.org/abs/1804.04829v2

PSNR

27.21

16k > Image Super-Resolution

WebFace - 8x upscaling

Full-GWAInet

https://arxiv.org/abs/1906.07078v1

PSNR

27.11

16k > Image Super-Resolution

WebFace - 8x upscaling

SRGAN

http://arxiv.org/abs/1609.04802v5

PSNR

24.49

16k > Image Super-Resolution

WebFace - 8x upscaling

VDSR

http://arxiv.org/abs/1511.04587v2

PSNR

23.65

16k > Image Super-Resolution

WebFace - 8x upscaling

CBN

http://arxiv.org/abs/1607.05046v1

PSNR

23.10

16k > Image Super-Resolution

WebFace - 8x upscaling

WaveletSR

http://openaccess.thecvf.com/content_iccv_2017/html/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.html

PSNR

21.63

16k > Image Super-Resolution

WebFace - 8x upscaling

TDAE

http://openaccess.thecvf.com/content_cvpr_2017/html/Yu_Hallucinating_Very_Low-Resolution_CVPR_2017_paper.html

PSNR

20.24

16k > Image Super-Resolution

Set14 - 3x upscaling

Hi-IR-L

https://arxiv.org/abs/2411.18588v1

PSNR

31.55

16k > Image Super-Resolution

Set14 - 3x upscaling

Hi-IR-L

https://arxiv.org/abs/2411.18588v1

SSIM

0.8616

16k > Image Super-Resolution

Set14 - 3x upscaling

HMA†

https://arxiv.org/abs/2405.05001v1

PSNR

31.47

16k > Image Super-Resolution

Set14 - 3x upscaling

HMA†

https://arxiv.org/abs/2405.05001v1

SSIM

0.8585

16k > Image Super-Resolution

Set14 - 3x upscaling

HAT-L

https://arxiv.org/abs/2205.04437v3

PSNR

31.47

16k > Image Super-Resolution

Set14 - 3x upscaling

HAT-L

https://arxiv.org/abs/2205.04437v3

SSIM

0.8584

16k > Image Super-Resolution

Set14 - 3x upscaling

HAT_FIR

https://arxiv.org/abs/2208.11247v3

PSNR

31.37

16k > Image Super-Resolution

Set14 - 3x upscaling

HAT

https://arxiv.org/abs/2205.04437v3

PSNR

31.33

16k > Image Super-Resolution

Set14 - 3x upscaling

HAT

https://arxiv.org/abs/2205.04437v3

SSIM

0.8576

16k > Image Super-Resolution

Set14 - 3x upscaling

SwinFIR

https://arxiv.org/abs/2208.11247v3

PSNR

31.24

16k > Image Super-Resolution

Set14 - 3x upscaling

SwinFIR

https://arxiv.org/abs/2208.11247v3

SSIM

0.8566

16k > Image Super-Resolution

Set14 - 3x upscaling

CPAT+

https://arxiv.org/abs/2407.16232v2

PSNR

31.19

16k > Image Super-Resolution

Set14 - 3x upscaling

CPAT+

https://arxiv.org/abs/2407.16232v2

SSIM

0.8559

16k > Image Super-Resolution

Set14 - 3x upscaling

CPAT

https://arxiv.org/abs/2407.16232v2

PSNR

31.15

16k > Image Super-Resolution

Set14 - 3x upscaling

CPAT

https://arxiv.org/abs/2407.16232v2

SSIM

0.8557

16k > Image Super-Resolution

Set14 - 3x upscaling

IPT

https://arxiv.org/abs/2012.00364v4

PSNR

30.85

16k > Image Super-Resolution

Set14 - 3x upscaling

DRLN+

https://arxiv.org/abs/1906.12021v2

PSNR

30.8

16k > Image Super-Resolution

Set14 - 3x upscaling

DRLN+

https://arxiv.org/abs/1906.12021v2

SSIM

0.8498

16k > Image Super-Resolution

Set14 - 3x upscaling

LTE

https://arxiv.org/abs/2111.08918v6

PSNR

30.8

16k > Image Super-Resolution

Set14 - 3x upscaling

HAN+

https://arxiv.org/abs/2008.08767v1

PSNR

30.79

16k > Image Super-Resolution

Set14 - 3x upscaling

HAN+

https://arxiv.org/abs/2008.08767v1

SSIM

0.8487

16k > Image Super-Resolution

Set14 - 3x upscaling

CSNLN

https://arxiv.org/abs/2006.01424v1

PSNR

30.66

16k > Image Super-Resolution

Set14 - 3x upscaling

CSNLN

https://arxiv.org/abs/2006.01424v1

SSIM

0.8482

16k > Image Super-Resolution

Set14 - 3x upscaling

SwinOIR

https://arxiv.org/abs/2303.09190v2

PSNR

30.65

16k > Image Super-Resolution

Set14 - 3x upscaling

SwinOIR

https://arxiv.org/abs/2303.09190v2

SSIM

0.8493

16k > Image Super-Resolution

Set14 - 3x upscaling

ML-CrAIST

https://arxiv.org/abs/2408.09940v1

PSNR

30.39

16k > Image Super-Resolution

Set14 - 3x upscaling

ML-CrAIST

https://arxiv.org/abs/2408.09940v1

SSIM

0.8488

16k > Image Super-Resolution

Set14 - 3x upscaling

IMDN

https://arxiv.org/abs/1909.11856v1

PSNR

30.32

16k > Image Super-Resolution

Set14 - 3x upscaling

ML-CrAIST-Li

https://arxiv.org/abs/2408.09940v1

PSNR

30.23

16k > Image Super-Resolution

Set14 - 3x upscaling

ML-CrAIST-Li

https://arxiv.org/abs/2408.09940v1

SSIM

0.8474

16k > Image Super-Resolution

Set14 - 3x upscaling

MWCNN

http://arxiv.org/abs/1805.07071v2

PSNR

30.16

16k > Image Super-Resolution

Set14 - 3x upscaling

SRFBN

https://arxiv.org/abs/1903.09814v2

PSNR

30.1

16k > Image Super-Resolution

Set14 - 3x upscaling

LCSCNet

https://arxiv.org/abs/1909.03573v1

PSNR

29.87

16k > Image Super-Resolution

Set14 - 3x upscaling

DnCNN-3

http://arxiv.org/abs/1608.03981v1

PSNR

29.81

16k > Image Super-Resolution

Set14 - 3x upscaling

RED30

http://arxiv.org/abs/1606.08921v3

PSNR

29.61

16k > Image Super-Resolution

Set14 - 3x upscaling

RED30

http://arxiv.org/abs/1606.08921v3

SSIM

0.8341

16k > Image Super-Resolution

Set14 - 3x upscaling

PMRN+

https://arxiv.org/abs/2007.09552v4

PSNR

29.24

16k > Image Super-Resolution

Set14 - 3x upscaling

PMRN+

https://arxiv.org/abs/2007.09552v4

SSIM

0.8087

16k > Image Super-Resolution

Set14 - 3x upscaling

Deep CNN Denoiser

http://arxiv.org/abs/1704.03264v1

PSNR

27.72

16k > Image Super-Resolution

4x upscaling

ML-CrAIST

https://arxiv.org/abs/2408.09940v1

FLOPs(G)

42.9

16k > Image Super-Resolution

4x upscaling

ML-CrAIST

https://arxiv.org/abs/2408.09940v1

#params (K)

1280

16k > Image Super-Resolution

4x upscaling

ML-CrAIST-Li

https://arxiv.org/abs/2408.09940v1

FLOPs(G)

25.5

16k > Image Super-Resolution

4x upscaling

ML-CrAIST-Li

https://arxiv.org/abs/2408.09940v1

#params (K)

758

16k > Image Super-Resolution

USR-248 - 4x upscaling

SRDRM-GAN

https://arxiv.org/abs/1909.09437v3

PSNR

24.62

16k > Image Super-Resolution

USR-248 - 4x upscaling

SRDRM-GAN

https://arxiv.org/abs/1909.09437v3

SSIM

0.69

16k > Image Super-Resolution

USR-248 - 4x upscaling

SRDRM-GAN

https://arxiv.org/abs/1909.09437v3

UIQM

2.48

16k > Image Super-Resolution

ImageNet

DAVI

https://arxiv.org/abs/2407.16125v1

PSNR

26.58

16k > Image Super-Resolution

ImageNet

DAVI

https://arxiv.org/abs/2407.16125v1

FID

36.27

16k > Image Super-Resolution

ImageNet

DDNM

https://arxiv.org/abs/2212.00490v2

PSNR

27.46

16k > Image Super-Resolution

ImageNet

DDNM

https://arxiv.org/abs/2212.00490v2

SSIM

0.87

16k > Image Super-Resolution

ImageNet

DDNM

https://arxiv.org/abs/2212.00490v2

FID

39.26

16k > Image Super-Resolution

ImageNet

DDRM

https://arxiv.org/abs/2212.00490v2

PSNR

27.38

16k > Image Super-Resolution

ImageNet

DDRM

https://arxiv.org/abs/2212.00490v2

SSIM

0.869

16k > Image Super-Resolution

ImageNet

DDRM

https://arxiv.org/abs/2212.00490v2

FID

43.15