Sensitive content

This media may contain sensitive content.

正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Chiory from genshin. Finally, I fixed the model. This time using Ray rendering. I spent some time dealing with the issue of smoke fading during rendering. #fart #fartanimation #おなら #방귀

Days

8,278 subscribers

216,097 次观看 • 4 个月前 •via X (Twitter)

NSFW #fart #fartanimation #おなら #방귀

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

This is my new work, Alya's trick 。This time, I mainly want to do a little plot. I hope you like it🙌#fart #girlfart #fartfetish #fartanimation #おなら #방귀

Sensitive content

This is my new work, Alya's trick 。This time, I mainly want to do a little plot. I hope you like it🙌#fart #girlfart #fartfetish #fartanimation #おなら #방귀

fdtneigui

65,476 次观看 • 3 年前

Just a Seahorse, Not much happening lately. I did this 3d sketch on a plane using Sculptura app and the real-time rendering with Nomad Sculpt.

Just a Seahorse, Not much happening lately. I did this 3d sketch on a plane using Sculptura app and the real-time rendering with Nomad Sculpt.

Juan Carlos Montes

27,619 次观看 • 4 个月前

City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web paper page: enables real-time neural rendering of large-scale scenes over web using laptop GPUs. The result is tested on the NVIDIA RTX 3060 Laptop GPU with 1920x1080 resolution

City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web paper page: enables real-time neural rendering of large-scale scenes over web using laptop GPUs. The result is tested on the NVIDIA RTX 3060 Laptop GPU with 1920x1080 resolution

AK

79,439 次观看 • 2 年前

This guy literally turned blender into a real-time 3d engine with multiplayer support When I say the merger of offline and real-time rendering is inevitable — this is not what I expected 😂

This guy literally turned blender into a real-time 3d engine with multiplayer support When I say the merger of offline and real-time rendering is inevitable — this is not what I expected 😂

Bilawal Sidhu

716,325 次观看 • 1 年前

LETS GOOOO I finally made surfing! And Spent a lot of time updating the water from the demo!

LETS GOOOO I finally made surfing! And Spent a lot of time updating the water from the demo!

UndreamedPanic

1,047,648 次观看 • 10 个月前

I usually get too distracted to record my drawing process, but this time I stayed focused for a whole 2.5 hours!😅 Got a recording of the separately slowed down piece of the rendering and

I usually get too distracted to record my drawing process, but this time I stayed focused for a whole 2.5 hours!😅 Got a recording of the separately slowed down piece of the rendering and

StarkLike

14,410 次观看 • 1 年前

I made a URP version of Rainy Night, using Huawei Pocket 2 phone for real-time rendering.😊 Come and subscribe to my Fanbox to download this project #unity3d #RealTime #shader #VFX

I made a URP version of Rainy Night, using Huawei Pocket 2 phone for real-time rendering.😊 Come and subscribe to my Fanbox to download this project #unity3d #RealTime #shader #VFX

Sakura Rabbit 樱花兔

81,122 次观看 • 1 年前

[NEW MESSAGE] > Anna💕 Felt cute, might get bigger next time idk >footsies4u.mp4< First animation of the year woohoo! Some glitches and weird visual stuff visible, but I was figuring things out with rendering. Next one will be better!

Sensitive content

[NEW MESSAGE] > Anna💕 Felt cute, might get bigger next time idk >footsies4u.mp4< First animation of the year woohoo! Some glitches and weird visual stuff visible, but I was figuring things out with rendering. Next one will be better!

LeafyBush7

46,183 次观看 • 5 个月前

I finally spent some time with Alibaba Cloud for video and the results are really fun. I started by using some images I generated right on the same site as references for a cooking animation. The stability was the best part. I did not see any of the usual glitching with ingredients doubling up. Everything looked solid, especially the water physics and how the steam reacted to the heat.

I finally spent some time with Alibaba Cloud for video and the results are really fun. I started by using some images I generated right on the same site as references for a cooking animation. The stability was the best part. I did not see any of the usual glitching with ingredients doubling up. Everything looked solid, especially the water physics and how the steam reacted to the heat.

Chubby♨️

20,686 次观看 • 2 个月前

I spent some time with the Skybox.gg tactical editor. What do you guys think?

I spent some time with the Skybox.gg tactical editor. What do you guys think?

Anders

11,235 次观看 • 7 个月前

I spent some time in Margate this summer, so I had to address the elephant in the room... 🐘

I spent some time in Margate this summer, so I had to address the elephant in the room... 🐘

Mikie Sherrill

33,559 次观看 • 9 个月前

Alright, polishing didn't take much time, re-rendering every angle did though. I'm just very nitpicky but at some point I gotta stop 😭 I'm very happy with the way it looks! Youtube link in the comments! #laracroft #tombraider

Alright, polishing didn't take much time, re-rendering every angle did though. I'm just very nitpicky but at some point I gotta stop 😭 I'm very happy with the way it looks! Youtube link in the comments! #laracroft #tombraider

Lito Perezito

113,371 次观看 • 2 年前

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.

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

The Driller Bot from #Transformers Dark of the Moon was the most complex asset ILM had done for Transformers by that point. It had 70,000 individual parts, over 7x more than Optimus Prime. This sequence where it is crushing the skyscraper took 288 hours per frame to render with all of the reflections and simulations. During the last weekend, ILM used their entire render farm, amounting to 200,000 rendering hours per day which is 22.8 years of rendering time in 24 hours.

The Driller Bot from #Transformers Dark of the Moon was the most complex asset ILM had done for Transformers by that point. It had 70,000 individual parts, over 7x more than Optimus Prime. This sequence where it is crushing the skyscraper took 288 hours per frame to render with all of the reflections and simulations. During the last weekend, ILM used their entire render farm, amounting to 200,000 rendering hours per day which is 22.8 years of rendering time in 24 hours.

Rassoul Edji

5,684,497 次观看 • 1 年前

I spent the weekend hacking an AI room makeover using ControlNet & Stable Diffusion, restyling my parent's "drawing room." How soon until this workflow is standard for home décor & interior design? ControlNet is a glimpse into the AI-infused future of 3D rendering & AR.

I spent the weekend hacking an AI room makeover using ControlNet & Stable Diffusion, restyling my parent's "drawing room." How soon until this workflow is standard for home décor & interior design? ControlNet is a glimpse into the AI-infused future of 3D rendering & AR.

Bilawal Sidhu

473,200 次观看 • 3 年前

The free AVATAR project is expected to launch for testing this week, offering cinematic-quality real-time rendering. You can create personalized characters and even connect with free AI motion capture to produce high-quality real-time animation using a 1080P webcam.

CYANPUPPETS

41,033 次观看 • 1 年前

🚨 DLSS 5 will look much better than this! Future of neural rendering will let devs, modders and player configure anything in the game This time, using an AI video model, reimagining GTA 4 in Russia, gives you a feel about how DLSS 5 might look like

🚨 DLSS 5 will look much better than this! Future of neural rendering will let devs, modders and player configure anything in the game This time, using an AI video model, reimagining GTA 4 in Russia, gives you a feel about how DLSS 5 might look like

can

892,683 次观看 • 3 个月前