Kayayyakin AI JAGORA

ESRGAN da GAN Super-Resolution

ESRGAN na amfani da gasar janareta da nuna wariya don ƙirƙira daki-daki na gaskiya lokacin da ake ɗaukaka hotuna, wanda ya wuce saɓani.

2 min karatuAn sabunta ta ƙarshe

Dubawa

It matters because it set the template for photo-realistic super-resolution that still influences tools today.

Zurfafa nutsewa

ESRGAN (Ingantacciyar Ƙaƙwalwar Ƙwararrun Ƙwararrun Ƙwararrun Ƙwararrun Ƙwararru), wanda aka gabatar a cikin 2018, ya inganta akan SRGAN na farko. Yana amfani da janareta da aka gina daga Residual-in-Residual Dese Blocks (RRDB) wanda ke tattara manyan haɗin gwiwa da yawa ba tare da daidaita tsari ba, wanda marubutan suka gano ya haifar da kayan tarihi. Wata hanyar sadarwar wariya ta daban tana ƙoƙarin faɗi ainihin hotuna masu ƙarfi daga waɗanda aka ƙirƙira, suna tura janareta don haskaka laushi masu gamsarwa kamar gashi, bulo, da foliage. ESRGAN ya haɗu da asara guda uku: asarar abun ciki mai hikima na pixel, hasarar fahimta da aka auna akan taswirar fasalin VGG kafin kunnawa, da asarar gaba. Har ila yau, ya gabatar da mai nuna wariya na 'dangantaka' wanda ke yin hukunci ko hotuna na gaske sun fi na jabu, horar da kai. ESRGAN ta ci 2018 PIRM babban ƙalubalen babban ƙuduri.

Fahimtar Fasaha

Babban ra'ayin shine cinikin daidaiton pixel don haƙiƙanin fahimta. Asara ta Pixel kamar matsakaicin MSE akan kyawu mai kyawu, yana haifar da santsi, fitowar haske. Asara ta gaba a maimakon haka tana tilasta fitarwa zuwa ga ɗimbin hotuna masu kama-da-wane, don haka janareta ya ƙaddamar da rubutu ɗaya mai kaifi, tabbatacce. Matsakaicin matsakaita mai wariya na ESRGAN ya ƙiyasta nawa ne ainihin facin gaskiya fiye da na jabu, wanda ke ba da ƙarin bayani mai sauƙi kuma yana samar da gefuna masu fa'ida fiye da daidaitaccen mai wariya.

Dabarun Tasiri

Gudu da sikelin

Kayayyakin AI na iya sarrafa aiki da bincike, ganowa, da ayyuka masu alama a sikelin.

Gina zaɓuɓɓuka

Ƙungiyoyin ƙirƙira za su iya samar da ra'ayoyi cikin sauri tare da ƙarancin bita da hannu.

Ƙungiya da aikin aiki

Ayyuka na iya amfani da siginar hoto da bidiyo waɗanda a baya suke da wahalar aiwatarwa.

Makomar ESRGAN da GAN Super-Resolution

Babban ƙudurin GAN mai tsafta yana ƙara haɗuwa tare da ko maye gurbinsu ta hanyar kasusuwa na baya-bayan canji da masu haɓaka tushen yadawa waɗanda ke ba da ƙarin ingantaccen horo da ingantaccen iko. Har yanzu, janareta na ESRGAN's RRDB da girke-girke na fahimi-da-adversarial sun kasance mai ƙarfi, tushe mai nauyi wanda aka saka a cikin nau'ikan nau'ikan nau'ikan wasan da kayan aikin hoto. Yi tsammanin nau'ikan nau'ikan nau'ikan nau'ikan da ke kiyaye kaifi na GAN yayin karɓar bambance-bambancen watsawa da mahallin taswira mai nisa, da ƙara matsawa kan na'ura don haɓakawa na ainihi.

Aiwatar da Gaskiyar Duniya

Haɓaka ƙarancin ƙuduri a cikin mods na wasan bidiyo (wanda ya shahara a cikin 'AI Upscale' modding al'umma don tsoffin taken PC)

Haɓaka tsoffin hotuna na iyali ko hotunan da aka bincika kafin bugu a manyan girma

Haɓaka harkoki da aka fitar daga ƙananan ma'auni ko hotunan sa ido

Ƙirƙirar taswirorin rubutu masu ƙima don masu fasahar 3D masu aiki daga ƙananan hotuna

Hatsari & Tsare-tsare

Haƙƙoƙin hoto da yarda na iya zama haxarin doka idan ba a fayyace ba.

Ayyukan samfuri na iya bambanta a ko'ina cikin haske, ƙididdiga, da mahalli.

Ƙarya tabbataccen ƙila ba za a iya lura da shi ba sai dai idan an kula da ƙofofin amincewa.

Taswirar Hanya

1

Ƙayyade ma'auni na karɓa don daidaito, tunowa, da farashi na kuskure.

2

Gwada tare da bayanan da suka dace da ainihin yanayin samarwa.

3

Ƙara bita na ɗan adam don ƙarancin amincewa ko tsinkaya mai tasiri.

4

Bi diddigin ƙirar ƙira kuma sake ingantawa bayan canje-canjen kamara ko saitin bayanai.

Ci gaba da Bincike

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 ESRGAN and GAN Super-Resolution quiz

Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.

Fara tambayoyi

Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation

Jagora na gaba

Hoto Super-Resolution

Tambayoyin da ake yawan yi

What is ESRGAN and GAN Super-Resolution?

ESRGAN yana amfani da gasa-janar-da-wariya don ƙirƙira daki-daki na gaskiya lokacin da ake ɗaukaka hotuna, da wuce haddi mai duhu. Yana da mahimmanci saboda ya saita samfuri don ingantaccen ƙudurin hoto wanda har yanzu yana tasiri kayan aikin yau.

Menene 'GAN' a cikin ESRGAN yake nufi?

GAN yana nufin Generative Adversarial Network, saitin inda janareta da mai wariya ke fafatawa yayin horo.

Wane shingen gini ne janareta na ESRGAN ke amfani da shi da farko?

ESRGAN's janareta ya tattara Residual-in-Residual Dese Blocks (RRDB), raka'a masu alaƙa da yawa, azaman ainihin tsarin sa.

Me yasa marubutan ESRGAN suka cire daidaitaccen tsari daga janareta?

Marubutan sun sami daidaiton tsari ya samar da kayan tarihi marasa daɗi a cikin babban fitarwa, don haka sun cire shi daga tubalan RRDB.

Menene babban cinikin-kashe ESRGAN idan aka kwatanta da hanyoyin hasarar pixel-kawai?

Asarar gaba tana tura fitarwa zuwa yanayin rubutu na zahiri koda kuwa ƙimar pixel ɗaya ta bambanta da gaskiyar ƙasa.

Ina ake auna hasarar ESRGAN (VGG)?

ESRGAN yana ƙididdige hasarar hasashe akan taswirorin fasalin VGG kafin aikin kunnawa, wanda marubutan suka samu ya ba da sakamako mai ƙarfi.