Teburin Abubuwan Ciki[Boye][Nuna]
Hey, ko kun san, ana iya ƙirƙirar yanayin 3D daga abubuwan shigar da bayanai na 2D a cikin daƙiƙa tare da ƙirar NVDIA's Instant Neural rendering neuro, kuma ana iya yin hotunan wannan wurin a cikin millise seconds?
Yana yiwuwa a hanzarta sauya tarin hotunan da ba a taɓa gani ba zuwa yanayin 3D na dijital ta amfani da dabarar da aka sani da ma'anar juzu'i, wanda ke ba AI damar kwaikwayi yadda haske ke aiki a ainihin duniya.
Yana ɗaya daga cikin nau'ikan nau'ikan nau'ikan sa na farko waɗanda zasu iya haɗa horon cibiyar sadarwa mai sauri da sauri, godiya ga dabarar da ƙungiyar binciken NVIDIA ta ƙirƙira wacce ta kammala aikin cikin sauri - kusan nan take.
Wannan labarin zai bincika zurfin NeRF na NVIDIA, gami da saurin sa, shari'o'in amfani, da sauran dalilai.
Don haka, menene NeRF?
NeRF yana tsaye ne don filayen hasken jijiyoyi, wanda ke nufin wata dabara don ƙirƙirar ra'ayoyi na musamman na al'amuran da suka rikiɗe ta hanyar daidaita aikin yanayin yanayin ci gaba ta hanyar amfani da ƙaramin adadin ra'ayoyin shigarwa.
Lokacin da aka ba da tarin hotuna na 2D azaman shigarwa, NeRFs na NVIDIA suna aiki neural networks don wakilta da samar da al'amuran 3D.
Ana buƙatar ƙananan adadin hotuna daga kusurwoyi daban-daban a kusa da yankin don neural network, tare da wurin da kyamara ke cikin kowane firam.
Da zarar an ɗauki waɗannan hotuna, zai fi kyau, musamman a cikin fage tare da ƴan wasan kwaikwayo ko abubuwa masu motsi.
Za a lalata yanayin 3D na AI da aka ƙirƙira idan akwai motsi da yawa yayin aikin ɗaukar hoto na 2D.
Ta hanyar tsinkayar launi na hasken da ke fitowa a kowane bangare daga kowane wuri a cikin yanayin 3D, NeRF ya cika daidai da gibin da wannan bayanan ya bari don gina dukan hoton.
Tunda NeRF na iya samar da yanayin 3D a cikin miliyon daƙiƙa biyu bayan karɓar abubuwan da suka dace, shine mafi saurin tsarin NeRF zuwa yau.
NeRF yana aiki da sauri wanda kusan nan take, saboda haka sunansa. Idan daidaitattun wakilcin 3D kamar meshes polygonal hotuna ne na vector, NeRFs hotuna ne na bitmap: suna ɗaukar yadda haske ke fitowa daga wani abu ko cikin fage.
NeRF nan take yana da mahimmanci ga 3D kamar yadda kyamarori na dijital da matsawar JPEG suka kasance zuwa daukar hoto na 2D, suna haɓaka saurin sauri, dacewa, da isa ga kamawa da rabawa na 3D.
Ana iya amfani da NeRF nan take don samar da avatars ko ma gabaɗayan shimfidar wurare don duniyar kama-da-wane.
Don ba da girmamawa ga farkon hotuna na Polaroid, ƙungiyar Binciken NVIDIA ta sake yin wani shahararren harbi na Andy Warhol yana ɗaukar hoto nan take kuma ya canza shi zuwa yanayin 3D ta amfani da NeRF Instant.
Shin da gaske ne sau 1,000 da sauri?
Yanayin 3D zai iya ɗaukar sa'o'i don ƙirƙira kafin NeRF, ya danganta da tsangwama da ingancinsa.
AI ya haɓaka aikin sosai, amma har yanzu yana iya ɗaukar sa'o'i don horarwa da kyau. Yin amfani da hanyar da ake kira rikodin hash mai ƙuduri mai yawa, wanda NVIDIA ta fara aiki, Nan take NeRF na rage lokutan bayarwa da kashi 1,000.
Kunshin Tiny CUDA Neural Networks da NVIDIA CUDA Toolkit an yi amfani da su don ƙirƙirar ƙirar. A cewar NVIDIA, saboda cibiyar sadarwa ce mai sauƙi, ana iya horar da ita kuma a yi amfani da ita akan NVIDIA GPU guda ɗaya, tare da katunan NVIDIA Tensor Core suna aiki a cikin sauri mafi sauri.
Yi amfani da Halin
Motoci masu tuka kansu suna ɗaya daga cikin mahimman aikace-aikacen wannan fasaha. Wadannan motocin suna aiki ne ta hanyar tunanin kewayensu yayin da suke tafiya.
Duk da haka, matsalar da fasahar zamani shi ne cewa yana da m da kuma daukan dan lokaci da yawa.
Koyaya, ta amfani da NeRF Instant, duk abin da ake buƙata don mota mai tuƙi don kimantawa/fahimtar girman da siffar abubuwa na zahiri shine ɗaukar hotuna har yanzu, juya su zuwa 3D, sannan amfani da wannan bayanin.
Har yanzu ana iya samun wani amfani a cikin metaverse ko video game masana'antu na samarwa.
Saboda Instant NeRF yana ba ku damar gina avatars ko ma duka duniyar kama-da-wane da sauri, wannan gaskiya ne.
Kusan kadan 3D hali Za a buƙaci yin ƙirar ƙira saboda duk abin da za ku buƙaci yi shine gudanar da hanyar sadarwa ta jijiyoyi, kuma zai haifar muku da hali.
Bugu da kari, NVIDIA tana ci gaba da binciken yin amfani da wannan fasaha don ƙarin aikace-aikacen da ke da alaƙa da na'ura.
Misali, ana iya amfani da shi don fassara harsuna daidai fiye da baya da haɓaka manufa ta gaba ɗaya zurfin ilmantarwa Algorithms yanzu ana amfani da su don ayyuka da yawa.
Kammalawa
Yawancin batutuwan zane-zane sun dogara da ƙayyadaddun tsarin bayanai na ɗawainiya don yin amfani da santsi ko rashin ƙarfi na matsalar.
Madadin tushen ilmantarwa mai amfani wanda NVIDIA's Multi-resolution hash encoding yana mai da hankali kai tsaye kan cikakkun bayanai, ba tare da la'akari da nauyin aiki ba.
Don ƙarin koyo game da yadda abubuwa ke gudana a ciki, duba jami'in GitHub tanadi.
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