• No results found

Supplementary Material

N/A
N/A
Protected

Academic year: 2022

Share "Supplementary Material"

Copied!
369
0
0

Laster.... (Se fulltekst nå)

Fulltekst

(1)

Supplementary Material

Semantic-Aware Generative Approach for Image Inpainting

Deepankar Chanda and Nima Khademi Kalantari

(2)

Image Restoration

(3)

Comparison against:

• Adobe Photoshop

• EdgeConnect [1]

• DeepFillv2 [2]

(4)

Masked Image

(5)

Photoshop

(6)

EdgeConnect

(7)

DeepFillv2

(8)

Ours

(9)

Masked Image

(10)

Photoshop

(11)

EdgeConnect

(12)

DeepFillv2

(13)

Ours

(14)

Masked Image

(15)

Photoshop

(16)

EdgeConnect

(17)

DeepFillv2

(18)

Ours

(19)

Masked Image

(20)

Photoshop

(21)

EdgeConnect

(22)

DeepFillv2

(23)

Ours

(24)

Masked Image

(25)

Photoshop

(26)

EdgeConnect

(27)

DeepFillv2

(28)

Ours

(29)

Masked Image

(30)

Photoshop

(31)

EdgeConnect

(32)

DeepFillv2

(33)

Ours

(34)

Comparison against:

• ProFill [3]

(35)

Masked Image

(36)

Profill

(37)

Ours

(38)

Masked Image

(39)

ProFill

(40)

Ours

(41)

Masked Image

(42)

ProFill

(43)

Ours

(44)

Object Removal

(45)

Comparison against:

• Adobe Photoshop

• EdgeConnect [1]

• DeepFillv2 [2]

(46)

Input Image

(47)

Masked Image

(48)

Photoshop

(49)

EdgeConnect

(50)

DeepFillv2

(51)

Ours

(52)

Input Image

(53)

Masked Image

(54)

Photoshop

(55)

EdgeConnect

(56)

DeepFillv2

(57)

Ours

(58)

Input Image

(59)

Masked Image

(60)

Photoshop

(61)

EdgeConnect

(62)

DeepFillv2

(63)

Ours

(64)

Input Image

(65)

Masked Image

(66)

Photoshop

(67)

EdgeConnect

(68)

DeepFillv2

(69)

Ours

(70)

Input Image

(71)

Masked Image

(72)

Photoshop

(73)

EdgeConnect

(74)

DeepFillv2

(75)

Ours

(76)

Generalization to

Other Data

(77)

Input Image

(78)

Masked Image

(79)

Ours

(80)

Input Image

(81)

Masked Image

(82)

Ours

(83)

Input Image

(84)

Masked Image

(85)

Ours

(86)

Input Image

(87)

Masked Image

(88)

Ours

(89)

Input Image

(90)

Masked Image

(91)

Ours

(92)

Input Image

(93)

Masked Image

(94)

Ours

(95)

Image Restoration

(Additional)

(96)

Comparison against:

• Adobe Photoshop

• EdgeConnect [1]

• DeepFillv2 [2]

(97)

Masked Image

(98)

Photoshop

(99)

EdgeConnect

(100)

DeepFillv2

(101)

Ours

(102)

Masked Image

(103)

Photoshop

(104)

EdgeConnect

(105)

DeepFillv2

(106)

Ours

(107)

Masked Image

(108)

Photoshop

(109)

EdgeConnect

(110)

DeepFillv2

(111)

Ours

(112)

Masked Image

(113)

Photoshop

(114)

EdgeConnect

(115)

DeepFillv2

(116)

Ours

(117)

Masked Image

(118)

Photoshop

(119)

EdgeConnect

(120)

DeepFillv2

(121)

Ours

(122)

Masked Image

(123)

Photoshop

(124)

EdgeConnect

(125)

DeepFillv2

(126)

Ours

(127)

Masked Image

(128)

Photoshop

(129)

EdgeConnect

(130)

DeepFillv2

(131)

Ours

(132)

Masked Image

(133)

Photoshop

(134)

EdgeConnect

(135)

DeepFillv2

(136)

Ours

(137)

Masked Image

(138)

Photoshop

(139)

EdgeConnect

(140)

DeepFillv2

(141)

Ours

(142)

Masked Image

(143)

Photoshop

(144)

EdgeConnect

(145)

DeepFillv2

(146)

Ours

(147)

Masked Image

(148)

Photoshop

(149)

EdgeConnect

(150)

DeepFillv2

(151)

Ours

(152)

Masked Image

(153)

Photoshop

(154)

EdgeConnect

(155)

DeepFillv2

(156)

Ours

(157)

Masked Image

(158)

Photoshop

(159)

EdgeConnect

(160)

DeepFillv2

(161)

Ours

(162)

Masked Image

(163)

Photoshop

(164)

EdgeConnect

(165)

DeepFillv2

(166)

Ours

(167)

Masked Image

(168)

Photoshop

(169)

EdgeConnect

(170)

DeepFillv2

(171)

Ours

(172)

Masked Image

(173)

Photoshop

(174)

EdgeConnect

(175)

DeepFillv2

(176)

Ours

(177)

Masked Image

(178)

Photoshop

(179)

EdgeConnect

(180)

DeepFillv2

(181)

Ours

(182)

Masked Image

(183)

Photoshop

(184)

EdgeConnect

(185)

DeepFillv2

(186)

Ours

(187)

Masked Image

(188)

Photoshop

(189)

EdgeConnect

(190)

DeepFillv2

(191)

Ours

(192)

Masked Image

(193)

Photoshop

(194)

EdgeConnect

(195)

DeepFillv2

(196)

Ours

(197)

Masked Image

(198)

Photoshop

(199)

EdgeConnect

(200)

DeepFillv2

Referanser

RELATERTE DOKUMENTER

1 Department of Arctic and Marine Biology, Faculty of BioSciences, Fisheries and Economics, University of Tromsø, 9037 Tromsø, Norway.. 2 Institute of Marine Research, PO Box 6404,

Most warping-based methods formulate retargeting as a spatially-varying warping problem over a uniform mesh and encourage each mesh grid to undergo a conformal transformation

The original images and the results except ours are downloaded from the website that accompanies the paper "A Comparative Study of Image Retargeting",

The core of our system is a novel algorithm to adaptively segment repeated curved stripes (e.g., roof tiles, building floors) into individual elements, based on which 3D dimensions

The contributions of this paper are: (i) We improve the image correspondence framework of TIM, relaxing the as- sumptions on the underlying weight functions and transfor- mations,

Bigger  figures  with  bigger  captions  to  explain  better  the  visualization

Unlike previous image smoothing techniques which use the low-level vision features, such as appearance and gradient, or the mid-level vision features, such as edge or

Based on advances in texture synthesis using CNNs we propose patch-based image inpainting by a CNN that is able to optimize for global as well as detail texture statistics.. Our