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Artists favorite Rendering solution is constantly evolving 📈 ! As we continue to build one of the best rendering solutions available on the market, our developers have been working on some exciting new features that we've just released: - Playback feature: Artists can now preview their frame sequences in...

10,404 görüntüleme • 2 yıl önce •via X (Twitter)

14 Yorum

Yoriichi Tsugikuni profil fotoğrafı
Yoriichi Tsugikuni2 yıl önce

I said it before & i’ll say it again. $OCTA will takeover the entire rendering sector.

mikro profil fotoğrafı
mikro2 yıl önce

$OCTA going mainstream 📈

Ferry Tayle 🐙 profil fotoğrafı
Ferry Tayle 🐙2 yıl önce

$octa is the king of #depin 🔥💪🏻

Julio Benavides profil fotoğrafı
Julio Benavides2 yıl önce

Who make this red cute robot xd

OctaSpace profil fotoğrafı
OctaSpace2 yıl önce

Who indeed 😉

KryptoHase 🇺🇸🇩🇪 profil fotoğrafı
KryptoHase 🇺🇸🇩🇪2 yıl önce

sky's the limit, and $OCTA is aiming for the stars! 🌌💎

Kakashi - τ - profil fotoğrafı
Kakashi - τ -2 yıl önce

$OCTA 💙

Dat Ho profil fotoğrafı
Dat Ho2 yıl önce

If you haven’t checked $OCTA out yet, now is the time 🕰️

🛰️ CryptoGemGR 🛰️🌍 7Sins Island 🌍 profil fotoğrafı
🛰️ CryptoGemGR 🛰️🌍 7Sins Island 🌍2 yıl önce

Yes it is. Deserves another x10 $octa

Reza.aghaamohamadi profil fotoğrafı
Reza.aghaamohamadi2 yıl önce

$octa 💎

Nisre profil fotoğrafı
Nisre2 yıl önce

Octa💯

Raptor_19 profil fotoğrafı
Raptor_192 yıl önce

$OCTA 👊🏼

Clarois | Motion Designer profil fotoğrafı
Clarois | Motion Designer2 yıl önce

Still use it 🔥

H_Que profil fotoğrafı
H_Que2 yıl önce

Love $OCTA project ❤️❤️🫰

Benzer Videolar

VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams paper page: Neural Radiance Fields (NeRFs) excel in photorealistically rendering static scenes. However, rendering dynamic, long-duration radiance fields on ubiquitous devices remains challenging, due to data storage and computational constraints. In this paper, we introduce VideoRF, the first approach to enable real-time streaming and rendering of dynamic radiance fields on mobile platforms. At the core is a serialized 2D feature image stream representing the 4D radiance field all in one. We introduce a tailored training scheme directly applied to this 2D domain to impose the temporal and spatial redundancy of the feature image stream. By leveraging the redundancy, we show that the feature image stream can be efficiently compressed by 2D video codecs, which allows us to exploit video hardware accelerators to achieve real-time decoding. On the other hand, based on the feature image stream, we propose a novel rendering pipeline for VideoRF, which has specialized space mappings to query radiance properties efficiently. Paired with a deferred shading model, VideoRF has the capability of real-time rendering on mobile devices thanks to its efficiency. We have developed a real-time interactive player that enables online streaming and rendering of dynamic scenes, offering a seamless and immersive free-viewpoint experience across a range of devices, from desktops to mobile phones.

AK

38,686 görüntüleme • 2 yıl önce