Soo Celinta Transformer SwinIR
SwinIR waxay khusaysaa dareenka daaqada ee Swin Transformer ee hawlaha soo celinta sawirka sida xallinta sare, diidmada, iyo saarista JPEG artifact.
Dulmar
It matters because it showed transformers can beat strong CNN models on restoration with fewer parameters.
quusid qoto dheer
SwinIR, oo la soo bandhigay 2021, waxay la qabsataa Transformer-ka Swin, oo asal ahaan ah kala soocida sawirka waxqabadka sare leh, aragti heer hoose ah. Naqshaddeedu waxay leedahay saddex marxaladood: qaab-soo-saar qoto-dheer, soo-saar qoto-dheer oo laga sameeyay blocks Transformer Swin Residual Swin (RSTB), iyo qayb dib-u-dhiska oo kor u qaada ama sifaysa sawirka. RSTB kastaa waxa ay ka kooban tahay dhawr lakab oo Transformer Swin ah oo lagu duuduubay xidhiidh hadhaaga ah iyo isugaynta kama dambaysta ah. Habka xudunta u ah waa is-fiirsasho ku salaysan daaqadaha oo lagu xisaabiyo gudaha daaqadaha maxaliga ah ee u dhexeeya lakabyada, taas oo u oggolaanaysa moodalku inuu si hufan u qabsado tafaasiisha maxalliga ah iyo macnaha fog ee labadaba. SwinIR waxay dejisay natiijooyin heer-sare ah oo heer heersare ah oo heer qadiimi ah, xallinta-fudud, xallinta-dhabta dhabta ah, cabbirka cawliga iyo midabka, iyo hoos u dhigidda farshaxanimada JPEG, oo inta badan leh ilaa saddex-meelood laba-meelood laba cabbir marka loo eego CNN-yada tartamaya.
Aragtida Farsamada
Jaangooyooyinka is-fiirsiga caadiga ah ayaa afar ahaan leh cabbirka sawirka, taas oo aan waxtar u lahayn sawirrada waaweyn. SwinIR waxay xisaabisaa dareenka gudaha daaqadaha yar yar ee go'an, taasoo ka dhigaysa mid toosan oo qiimaheedu yahay aagga sawirka, ka dibna waxay beddeshaa qaybta daaqadda lakab kasta oo kale si akhbaartu uga gudubto xuduudaha daaqadaha. Nidaamkan daaqad-wareega ah waxa uu keenaa goob weyn oo soo dhawayneed oo wax ku ool ah iyo miisaan la qabsiga nuxurka, kaas oo kernels convolution go'an ay maqan yihiin, isaga oo sharaxaya saxnaantiisa adag-ilaa-beegtida.
Saamaynta Istiraatijiyadeed
Xawaaraha iyo miisaanka
Visual AI wuxuu si otomaatig ah u samayn karaa baadhista, ogaanshaha, iyo sumadaynta hawlaha miisaanka.
Xulashada dhismayaasha
Kooxaha hal-abuurka leh waxay hindise karaan fikradaha si dhakhso leh iyagoo leh dib-u-eegis buugeed yar.
Kooxda iyo socodka shaqada
Hawlgalladu waxay isticmaali karaan calaamadaha muuqaalka iyo muuqaalka kuwaas oo markii hore adkeyd in la farsameeyo.
Mustaqbalka Soo Celinta Transformer SwinIR
SwinIR waxay gacan ka gaysatay kicinta mowjadaha soo celinta ku salaysan beddelka sida Restormer iyo koofiyadda kuwaas oo sii riixaya naqshadaynta dareenka. Filo sii socoshada isku-dhafan ee dareenka oo leh rogrogmi kara iyo faafin, kala duwanaansho fiiro gaar ah oo hufan oo loogu talagalay xallin-sare iyo muuqaal, iyo soo-celinta beddelka qalabka. Naqshaddeeda qaabaysan ee RSTB ayaa sidoo kale ka dhigaysa laf-dhabar ku habboon hawlaha dib-u-soo-celinta cusub ee ka baxsan bartilmaameedyada asalka ah.
Dhaqangelinta Adduunka-dhabta ah
Sawirrada xallinta sare leh iyadoo la ilaalinayo qoraallada wanaagsan marka loo eego gundhigga CNN
Ka saaritaanka isku-xidhka JPEG xannibaadda iyo agabka sawirada shabakada
Diidmada sawirada kamaradaha iftiinka hooseeya ama sare-ISO ee cabbirka cawliga iyo midabka labadaba
U adeega sida laf dhabarta soo celinta ee dhuumaha cilmi baarista iyo qaar ka mid ah GUI- kor u qaadaya il furan
Khatarta & Dariiqyada Ilaalada
Xuquuqda sawirka iyo ogolaanshaha waxay noqon kartaa khataro sharci ah haddii caddayntu aanay caddayn.
Waxqabadka moodeelku wuu ku kala duwanaan karaa iftiinka, tirakoobka, iyo deegaanka.
Wanaagga beenta ah waxa laga yaabaa inaan la dareemin ilaa xadka kalsoonida aan la kormeerin.
Qorshe Hawleedka Dhaqangelinta
Qeex shuruudaha aqbalida ee saxnaanta, dib u celinta, iyo kharashyada khaladka.
Ku tijaabi xogta ku habboon xaaladaha wax soo saarka dhabta ah.
Ku dar dib u eegis bini'aadamka si aad u hesho kalsoonida hoose ama saameeynta sare.
Lasoco moodeel dhaqaaqa oo dib u cusboonaysii kamarada ama xogta kaydinta ka dib.
Sii wad Sahaminta
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the SwinIR Transformer Restoration quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Hagaha xiga
Transformers Vision
Su'aalaha soo noqnoqda
What is SwinIR Transformer Restoration?
SwinIR waxay khusaysaa dareenka daaqada ee Swin Transformer ee hawlaha soo celinta sawirka sida xallinta sare, diidmada, iyo saarista JPEG artifact. Waa arrin sababtoo ah waxay muujisay transformers-ku inay garaaci karaan moodooyinka CNN xooggan ee soo celinta oo leh xaddidaadyo yar.
Waa maxay qaab-dhismeedka beddelka ee SwinIR ku salaysan yahay?
SwinIR waxa ay qaabaynta kala sarraysa ee Transformer-ka, naqshadaynta daaqada ku habaysa soo celinta sawirka.
Waa maxay habka dareenka xudunta u ah SwinIR?
SwinIR waxay isticmaashaa is-fiiro gaar ah gudaha daaqadaha maxaliga ah ee u dhexeeya lakabyada si ay ugu daraan macluumaadka daaqadaha.
Maxaa loo yaqaan SwinIR's blocks-spiritual?
Marxaladda soo saarista sifada qoto dheer waxay ku xidhmaysaa blocks Transformer Swin Haraaga, mid walbana wuxuu wataa lakabyo Swin, convolution, iyo xidhiidh hadhaaga ah.
Waa maxay sababta dareenka ku salaysan daaqada uu uga waxtar badan yahay dareenka caalamiga ah halkan?
Xisaabinta dareenka gudaha daaqadaha cabbirka go'an waxay ka dhigaysaa cabbirka qiimaha si toos ah oo leh bedka sawirka, isaga oo iska ilaalinaya af-duubka afar geesoodka ah ee dareenka caalamiga ah.
Midkee ayaan ahayn hawl SwinIR loo qorsheeyay?
SwinIR waxay beegsataa hawlaha aragga hoose sida xallinta sare, diidmada, iyo saarista JPEG, ma aha turjumaadda luqadda.