Munyika iri kuwedzera yedhijitari, kugona kugadzira mifananidzo mhando yepamusoro kuburikidza nekombuta yakatora basa rakatanhamara. Artificial Intelligence kugadzira "Mifananidzo" (AI) inova chinhu chakakosha, uye inogonesa kugadzirwa kwezvinhu zvegraphic zvine mwero unokatyamadza weruzivo uye realism. Ichi chirango chiri kubuda chinosanganisa simba rekugadzirisa komputa nehunyanzvi, hunyanzvi, uye dhizaini.
Kukurumidza kufambira mberi kwetekinoroji kwatungamira mukubuda kweakaomesesa ekudzidza muchina algorithms, bazi re yeArtificial Intelligence iro rave simba rinokurudzira iyi shanduko yekugadzira mifananidzo. Aya maalgorithms anokwanisa kudzidza kugadzira graphic zvemukati kubva kune data ravanodyiswa, zvichigonesa kugadzirwa kwemifananidzo zvine humbowo hunoshamisa uye ruzivo. Iko kusanganiswa kwe tekinoroji, hunyanzvi, uye hunyanzvi ndiyo yepakati axis yeiyi fomu nyowani yekugadzira mifananidzo.
Muchikamu chino, tichaongorora zvakadzama nyika inonakidza ye "Artificial Intelligence for Imaging," iyo inogona kushandiswa, nzira dzakakosha dzinoshandiswa, maitiro ehutsika uye emutemo, pamwe chete nemafambiro emangwana munharaunda iyi inofadza.
Zvichangoburwa muArtificial Intelligence yeKugadzira Mifananidzo
Mumakore achangopfuura, njere dzakagadzirwa (AI) yakaratidza kugona kwakawanda mumunda wekufungidzira. Imwe nzira inonzi GANs (Generative Adversarial Networks), rudzi rwekudzidza kwemichina inoshandisa maviri neural network kugadzira mifananidzo yechokwadi kubva kune zvisina tsarukano data samples. Iyo jenareta network inoedza kuburitsa data inonyatso fanana nedata rekudzidzisa, nepo network yekusarura ichiedza kusiyanisa pakati peiyo chaiyo uye inogadzirwa data. Aya ma network maviri ari mumakwikwi enguva dzose, zvichiita kuti pave nekugadzirwa kwemifananidzo yakawanda, yepamusoro-soro.
Mukufambirana, mamwe matekiniki ari kuongororwawo, sekuti Generative Design, iyo inoshandisa AI algorithms kugadzira mifananidzo mitsva yakavakirwa pane yakatsanangurwa seti yemaparamita uye zvipingaidzo. Iyi nzira iri kushandiswa kunyanya mundima yekuvaka uye chigadzirwa dhizaini, uko algorithms inokwanisa kugadzira isingaperi nhamba yezvigadziriso zvekugadzirisa kune dambudziko rakapihwa, zvichibvumira vagadziri kuti vaongorore mitsva yekugadzira mikana. Pamusoro pezvo, nzira inonzi Style Transfer inoshandisa neural network kushandisa maitiro. yemufananidzo kune imwe, sekunge iri sefa, iyo inobvumira kusikwa kwemabasa matsva eunyanzvi uye akasiyana magadzirirwo.
- GANs (Generative Adversarial Networks)
- Generative Design
- Style Transfer
Tsvagiridzo mundima iyi iri kuwedzera, uye kufambira mberi kwazvino kunovimbisa kusandura kwete chete minda yekutora mifananidzo nedhizaini, asiwo dzimwe nzvimbo dzakaita semushonga, sainzi, uye mainjiniya.
Iyo Intersection: AI uye Digital Imaging
La digital imaging yasvika padanho idzva nekuda kweArtificial Intelligence. Kufambira mberi kwetekinoroji uku kuri kushandura seti yehunyanzvi uye maturusi anoshandiswa kugadzira nekugadzirisa mifananidzo yedhijitari. Isu tinogovera rondedzero yakadzama yeshanduko uye mafambiro matsva ari kutambirwa graphic budiriro uye dhizaini:
- AI iri kutanga kugadzira graphic dhizaini iri yega. Kufanana neGoogle AutoDraw, iyo inoshandura doodles kuita mifananidzo inopinza.
- Michina yekudzidza matekinoroji inogonesa AI masisitimu kududzira uye kushandisa ruzivo rwekuona nenzira dzanga dzisingafungidzike.
- Zvisikwa zveGenerative AI zviri kushandura nzira iyo vagadziri vemifananidzo vanoshanda uye kugadzira magadzirirwo avo.
- Ongororo yemifananidzo kuburikidza neAI iri kubatsira kuona nekuvandudza matambudziko ekugadzira uye zvikanganiso zvinogona kuitika ipapo ipapo.
La Artificial Intelligence inoshandura nyika yekutora mifananidzo uye graphic dhizaini. AI haingobatsiri chete maererano nekushanda kwekushanda, asi inogonawo kusunungura hunyanzvi hwevanhu sezvisina kumbobvira zvaitika. Sezvo AI ichiwedzera kugona uye kuwanikwa, graphic artists nevagadziri vane mukana wekuongorora mazano matsva nemaitiro nerubatsiro rweiyi tekinoroji itsva inonakidza. Ngationgororei kuti tekinoroji iyi inotibvumidza sei kugadzira mifananidzo:
- Photo retouching iri nyore uye nekukurumidza nekuda kweAI kucherechedzwa kwemufananidzo.
- AI masisitimu anogona kugadzira mifananidzo kubva pakutanga, kudzidza kubva kumamiriyoni emienzaniso uye kuunza migumisiro inofadza.
- Convolutional neural networks, bazi yeAI, vakaratidza tarenda rakakosha mukugadzira akasiyana mavara uye mapatani.
- AI yakagonesa kugadzirwa kwehunyanzvi hutsva, hwakadai se "Deepfake," iyo inobvumira kukwirisa kwezviso zvine huchokwadi hunoshamisa.
Essential Techniques uye Zvishandiso zvekugadzira Mifananidzo neAI
La Uchenjeri hunobatsira (AI) AI yakapinda dzinenge mativi ese ehupenyu hwedu, uye ndima yekugadzira mifananidzo uye kugadzirisa haina mutsauko. AI inopa akasiyana matekiniki uye zvishandiso zvinoita kuti kugadzira mifananidzo kuve nyore uye zvirinani. Imwe nzira yakakosha ndeye General Adversarial Networks (GAN) iyo inogadzira mifananidzo mitsva yakavakirwa paruzivo kubva ku database. Manetiweki aya anoumbwa nezvikamu zviviri: jenareta inogadzira mifananidzo uye isarura inoedza kuona kuti mifananidzo ndeyechokwadi here kana kuti yakagadzirwa. Nekufamba kwenguva, jenareta rinowedzera kugona kunyengedza musarura, zvichikonzera mifananidzo yechokwadi. Imwe mureza weAI tekinoroji ndeye kutamisa maitiro iyo, sezvinoratidzwa nezita racho, inotora chimiro chemufananidzo mumwe (wakadai semufananidzo wakakurumbira) uye inoshandiswa kune imwe.
Pakati pezvishandiso zvakakosha zvekugadzira mifananidzo neAI pane software yakadai DeepArt y Dzungu, iyo inoshandisa AI algorithms kushandura mafoto kuita mabasa ehunyanzvi. Chimwe chishandiso chakakosha ndeye Runway ML, chikuva chinobvumira kune vaimbi, vagadziri, uye vanogadzira vanogona kushandisa AI pasina ruzivo rwehunyanzvi. Ichi chishandiso chinopa nyore-kushandisa-interface inoita kuti simba reAI riwanikwe kune wese munhu.
- DeepArt: inokutendera iwe kushandura chero mufananidzo kuita basa reunyanzvi uchishandisa zvitaera zvevakakurumbira maartist.
- Dzungu: chishandiso cheGoogle chinoshandisa neural network kuwana nekuvandudza mapatani mumifananidzo.
- Runway ML: ipuratifomu inopa iri nyore kushandisa interface yeAI yekugadzira mifananidzo, yakanakira maartist uye vagadziri.
Chimwe nechimwe chezvishandiso izvi chinopa akasiyana maficha, achibvumira vashandisi kuongorora uye kuedza nekucheka-kumucheto kwekugadzira mifananidzo. AI iri kushandura nyika yekugadzira mifananidzo, ichipa huwandu hwehunyanzvi hutsva uye zvishandiso zvevagadziri vemifananidzo.
Kurudziro uye Maitiro Akanakisa eKugadzira Mifananidzo neArtificial Intelligence
Sezvo isu tichipinda mune yakasarudzika nyika yekugadzira mifananidzo nehungwaru hwekunyepedzera, tinowana nhevedzano ye mazano uye maitiro akanaka izvo zvinogona kubatsira kukwenenzvera nekuvandudza kunaka kwebasa rako. Chekutanga, zvakakosha kuve nedataset yakanaka yekudzidzisa. Artificial intelligence inodzidza kubva kune yakakura mavhoriyamu eruzivo, saka chakakosha kuve nedataset rakasiyana uye rinomiririra mhando yemifananidzo yaunoda kugadzira. Izvo zvakakoshawo kuve nechokwadi kuti iyi data yakanyorwa zvakanaka kudzivirira kukanganisa mukudzidza kwemichina.
Parameter control chimwe chinhu chakakosha. mune artificial intelligence imaging. Aya ma paramita anoona kuti modhi inodzidza sei uye inogona kukanganisa zvakanyanya mifananidzo yakagadzirwa. Zvimwe zvinonyanya kukosha zvinosanganisira saizi yebatch, chiyero chekudzidza, nhamba yenguva yekudzidziswa, pakati pevamwe. Heano mamwe mazano:
- Kuchengetedza chiyero muhukuru hwebatch: saizi yakakura kwazvo Zvinogona kuguma nekudzidza zvishoma nezvishoma uye zvinoda ndangariro yakawandisa, nepo saizi diki inogona kusapa inomiririra yakakwana yedata.
- Gadzirisa mwero wekudzidza: Chiyero chakanyanya kukwira chinogona kuita kuti modhi ichinje nekukurumidza, asi inogona kukonzera kuwandisa. Kune rumwe rutivi, mwero wakaderera zvikuru anogona kuita kuti kudzidzira kunonoka.
- Tarisa huwandu hwenguva yekudzidziswa: Nguva yakawandisa inogona kukonzera kuwandisa, nepo vashoma vangasatendera modhi kudzidza zvakakwana.
Zvese zviri zviviri zvinhu, kushandisa dhata yekudzidziswa kwemhando uye kunyatso kudzora paramita, zvakakosha kuti uwane mhedzisiro yakanakisa muAI imaging.
Ini ndiri Sebastián Vidal, injiniya wekombuta anofarira nezve tekinoroji uye DIY. Uyezve, ndini musiki we tecnobits.com, kwandinogovera zvidzidzo kuti tekinoroji iwanikwe uye inonzwisisika kumunhu wese.