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Artists favorite Rendering solution is constantly evolving ๐Ÿ“ˆ ! 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 Aufrufe โ€ข vor 2 Jahren โ€ขvia X (Twitter)

14 Kommentare

Profilbild von Yoriichi Tsugikuni
Yoriichi Tsugikunivor 2 Jahren

I said it before & iโ€™ll say it again. $OCTA will takeover the entire rendering sector.

Profilbild von mikro
mikrovor 2 Jahren

$OCTA going mainstream ๐Ÿ“ˆ

Profilbild von Ferry Tayle ๐Ÿ™
Ferry Tayle ๐Ÿ™vor 2 Jahren

$octa is the king of #depin ๐Ÿ”ฅ๐Ÿ’ช๐Ÿป

Profilbild von Julio Benavides
Julio Benavidesvor 2 Jahren

Who make this red cute robot xd

Profilbild von OctaSpace
OctaSpacevor 2 Jahren

Who indeed ๐Ÿ˜‰

Profilbild von KryptoHase ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ฉ๐Ÿ‡ช
KryptoHase ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ฉ๐Ÿ‡ชvor 2 Jahren

sky's the limit, and $OCTA is aiming for the stars! ๐ŸŒŒ๐Ÿ’Ž

Profilbild von Kakashi - ฯ„ -
Kakashi - ฯ„ -vor 2 Jahren

$OCTA ๐Ÿ’™

Profilbild von Dat Ho
Dat Hovor 2 Jahren

If you havenโ€™t checked $OCTA out yet, now is the time ๐Ÿ•ฐ๏ธ

Profilbild von ๐Ÿ›ฐ๏ธ CryptoGemGR ๐Ÿ›ฐ๏ธ๐ŸŒ 7Sins Island ๐ŸŒ
๐Ÿ›ฐ๏ธ CryptoGemGR ๐Ÿ›ฐ๏ธ๐ŸŒ 7Sins Island ๐ŸŒvor 2 Jahren

Yes it is. Deserves another x10 $octa

Profilbild von Reza.aghaamohamadi
Reza.aghaamohamadivor 2 Jahren

$octa ๐Ÿ’Ž

Profilbild von Nisre
Nisrevor 2 Jahren

Octa๐Ÿ’ฏ

Profilbild von Raptor_19
Raptor_19vor 2 Jahren

$OCTA ๐Ÿ‘Š๐Ÿผ

Profilbild von Clarois | Motion Designer
Clarois | Motion Designervor 2 Jahren

Still use it ๐Ÿ”ฅ

Profilbild von H_Que
H_Quevor 2 Jahren

Love $OCTA project โค๏ธโค๏ธ๐Ÿซฐ

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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 Aufrufe โ€ข vor 2 Jahren