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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 次观看 • 2 年前 •via X (Twitter)

14 条评论

Yoriichi Tsugikuni 的头像
Yoriichi Tsugikuni2 年前

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

mikro 的头像
mikro2 年前

$OCTA going mainstream 📈

Ferry Tayle 🐙 的头像
Ferry Tayle 🐙2 年前

$octa is the king of #depin 🔥💪🏻

Julio Benavides 的头像
Julio Benavides2 年前

Who make this red cute robot xd

OctaSpace 的头像
OctaSpace2 年前

Who indeed 😉

KryptoHase 🇺🇸🇩🇪 的头像
KryptoHase 🇺🇸🇩🇪2 年前

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

Kakashi - τ - 的头像
Kakashi - τ -2 年前

$OCTA 💙

Dat Ho 的头像
Dat Ho2 年前

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

🛰️ CryptoGemGR 🛰️🌍 7Sins Island 🌍 的头像
🛰️ CryptoGemGR 🛰️🌍 7Sins Island 🌍2 年前

Yes it is. Deserves another x10 $octa

Reza.aghaamohamadi 的头像
Reza.aghaamohamadi2 年前

$octa 💎

Nisre 的头像
Nisre2 年前

Octa💯

Raptor_19 的头像
Raptor_192 年前

$OCTA 👊🏼

Clarois | Motion Designer 的头像
Clarois | Motion Designer2 年前

Still use it 🔥

H_Que 的头像
H_Que2 年前

Love $OCTA project ❤️❤️🫰

相关视频

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 次观看 • 2 年前