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。

Autodesk Research Project Bernini is new experimental generative AI that can quickly generate multiple functional 3D shapes from a variety of inputs including text, 2D images, or voxels. Watch for future updates as we continue to develop cutting-edge AI:

Autodesk

272,749 subscribers

2,776,858 次观看 • 2 年前 •via X (Twitter)

艺术科学技术

Anya Rossi• Live Now

Private livecam show

7 条评论

Wetterschneider 的头像

Wetterschneider2 年前

You keep using the word "designer". I do not think it means what you think it means. A designer designs. A designer does not slurp up absolute garbage geometry that is pooped out by generative software. This is a scam. A grift. It doesn't work. These outputs are not "useful".

Valentin 的头像

Valentin2 年前

Okay where does the data set come from? Well I think there will be no answer of course because it is 100% stable diffusion.

Gino 的头像

Gino2 年前

An insult to the name tbh, disgusting.

Alberto Cordero 的头像

Alberto Cordero2 年前

Download Blender Today!

wyerframeZ - HIATUS - RR2 DELAYED 的头像

wyerframeZ - HIATUS - RR2 DELAYED2 年前

losers will spend all their time s̶c̶r̶a̶p̶i̶n̶g̶ stealing models for their data sets but won't do the one thing people actually want— AI UVs and AI assisted weightpainting & volume perservation/ shapekeys

Bartek Moniewski 的头像

Bartek Moniewski2 年前

Thanks for accelerating adoption of Blender with yet another insult to your customers!

ᴍᴀᴛᴛɪᴀꜱ ᴍᴀʟᴍᴇʀ 的头像

ᴍᴀᴛᴛɪᴀꜱ ᴍᴀʟᴍᴇʀ2 年前

No one needs help making a damn vase. That takes like half a minute to make using ordinary tools. And if made procedurally it would be waaaay more useful. The magic retopology that happens in a flash in the video to make that voxel crap usable would be interesting tho.

相关视频

Generative AI is making big leaps every passing day. Found ChatGPT interesting, check out this new AI model from CMU that can bring your ideas to life. AI that can create brilliant 3D renders from 2D images in a matter of seconds 🤯

Generative AI is making big leaps every passing day. Found ChatGPT interesting, check out this new AI model from CMU that can bring your ideas to life. AI that can create brilliant 3D renders from 2D images in a matter of seconds 🤯

Shubham Saboo

100,813 次观看 • 3 年前

Today, Generative AI takes its next big step forward. Introducing Gen-1: a new AI model that uses language and images to generate new videos out of existing ones. Sign up for early research access:

Today, Generative AI takes its next big step forward. Introducing Gen-1: a new AI model that uses language and images to generate new videos out of existing ones. Sign up for early research access:

Runway

2,480,715 次观看 • 3 年前

Journey through the past and into the future of CGI in the Autodesk Time Tunnel. Celebrating 50 years of visual-effects pioneers and the cutting-edge technology helping us achieve the new possible. #SIGGRAPH2023 #MakeAnything

Journey through the past and into the future of CGI in the Autodesk Time Tunnel. Celebrating 50 years of visual-effects pioneers and the cutting-edge technology helping us achieve the new possible. #SIGGRAPH2023 #MakeAnything

Autodesk

11,229 次观看 • 3 年前

Today, we launch Autodesk AI - a powerful technology that supercharges productivity, boosts innovation, and unlocks creativity across industries. Learn more: #MakeAnything

Today, we launch Autodesk AI - a powerful technology that supercharges productivity, boosts innovation, and unlocks creativity across industries. Learn more: #MakeAnything

Autodesk

23,311 次观看 • 2 年前

🚀 Today Photoroom is announcing the next generation of AI photo-editing features. 🚀 We’re dropping 5 new AI features, including a text-to-image model, generative fill, and our new-and-improved AI backgrounds, plus launching the world’s first foundation model trained specifically for product photography. 🖼️ AI Images: Use AI to generate high-quality images from scratch. Create anything you can imagine, at the click of a button. 💗 AI Expand: Use generative AI to realistically expand the scene around your image. 🎑 AI Backgrounds: Generate stunningly realistic AI backgrounds for product photos. ⏳ AI Fill: Take total control of your AI images, by customizing an item or area of the picture. 🔄 Auto-rotate: Correct your camera angle with AI for more professional results. 🔎 AI Upscale: Get better quality images by enhancing the resolution of your images. If our 6x feature drop wasn’t enough, we also just closed our series B funding round, to the tune of $43 million 🎤 #Photoroom #generativeAI #AI #productphotography #ecommerce

🚀 Today Photoroom is announcing the next generation of AI photo-editing features. 🚀 We’re dropping 5 new AI features, including a text-to-image model, generative fill, and our new-and-improved AI backgrounds, plus launching the world’s first foundation model trained specifically for product photography. 🖼️ AI Images: Use AI to generate high-quality images from scratch. Create anything you can imagine, at the click of a button. 💗 AI Expand: Use generative AI to realistically expand the scene around your image. 🎑 AI Backgrounds: Generate stunningly realistic AI backgrounds for product photos. ⏳ AI Fill: Take total control of your AI images, by customizing an item or area of the picture. 🔄 Auto-rotate: Correct your camera angle with AI for more professional results. 🔎 AI Upscale: Get better quality images by enhancing the resolution of your images. If our 6x feature drop wasn’t enough, we also just closed our series B funding round, to the tune of $43 million 🎤 #Photoroom #generativeAI #AI #productphotography #ecommerce

Photoroom

22,236 次观看 • 2 年前

Adobe is entering the image-to-3D game! Their new method, LRM, can create high-fidelity 3D meshes from a single image in just 5 seconds 🔥 It's trained on 1 million objects and is able to generate objects from real-world images and generative AI models.

Adobe is entering the image-to-3D game! Their new method, LRM, can create high-fidelity 3D meshes from a single image in just 5 seconds 🔥 It's trained on 1 million objects and is able to generate objects from real-world images and generative AI models.

Dreaming Tulpa 🥓👑

270,942 次观看 • 2 年前

📣 New research from GenAI at Meta, introducing Meta 3D Gen: A new system for end-to-end generation of 3D assets from text in <1min. Meta 3D Gen is a new combined AI system that can generate high-quality 3D assets, with both high-resolution textures and material maps end-to-end, producing results that are superior to existing solutions — at 3-10x the speed of existing work in this space. Details in the technical report ➡️

📣 New research from GenAI at Meta, introducing Meta 3D Gen: A new system for end-to-end generation of 3D assets from text in <1min. Meta 3D Gen is a new combined AI system that can generate high-quality 3D assets, with both high-resolution textures and material maps end-to-end, producing results that are superior to existing solutions — at 3-10x the speed of existing work in this space. Details in the technical report ➡️

AI at Meta

408,909 次观看 • 2 年前

Autodesk COO Steven Blum welcomed Ryan Reynolds to #AU2023 to share how we can become a force for positive change. With Group Effort, we’re thrilled to support future entertainment industry leaders with access to training and networking opportunities to build their careers.

Autodesk COO Steven Blum welcomed Ryan Reynolds to #AU2023 to share how we can become a force for positive change. With Group Effort, we’re thrilled to support future entertainment industry leaders with access to training and networking opportunities to build their careers.

Autodesk

43,278 次观看 • 2 年前

Collaborative Score Distillation for Consistent Visual Synthesis paper page: Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when adapting these priors to complex visual modalities, often represented as multiple images (e.g., video), achieving consistency across a set of images is challenging. In this paper, we address this challenge with a novel method, Collaborative Score Distillation (CSD). CSD is based on the Stein Variational Gradient Descent (SVGD). Specifically, we propose to consider multiple samples as "particles" in the SVGD update and combine their score functions to distill generative priors over a set of images synchronously. Thus, CSD facilitates seamless integration of information across 2D images, leading to a consistent visual synthesis across multiple samples. We show the effectiveness of CSD in a variety of tasks, encompassing the visual editing of panorama images, videos, and 3D scenes. Our results underline the competency of CSD as a versatile method for enhancing inter-sample consistency, thereby broadening the applicability of text-to-image diffusion models.

Collaborative Score Distillation for Consistent Visual Synthesis paper page: Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when adapting these priors to complex visual modalities, often represented as multiple images (e.g., video), achieving consistency across a set of images is challenging. In this paper, we address this challenge with a novel method, Collaborative Score Distillation (CSD). CSD is based on the Stein Variational Gradient Descent (SVGD). Specifically, we propose to consider multiple samples as "particles" in the SVGD update and combine their score functions to distill generative priors over a set of images synchronously. Thus, CSD facilitates seamless integration of information across 2D images, leading to a consistent visual synthesis across multiple samples. We show the effectiveness of CSD in a variety of tasks, encompassing the visual editing of panorama images, videos, and 3D scenes. Our results underline the competency of CSD as a versatile method for enhancing inter-sample consistency, thereby broadening the applicability of text-to-image diffusion models.

AK

33,513 次观看 • 3 年前

Project Aria is a research program helping Meta unlock new possibilities of how we connect with and experience the world through AR and AI. 📺Watch the full tutorial from #CVPR2022 to learn how Project Aria will advance machine perception and AI research:

Project Aria is a research program helping Meta unlock new possibilities of how we connect with and experience the world through AR and AI. 📺Watch the full tutorial from #CVPR2022 to learn how Project Aria will advance machine perception and AI research:

Meta Open Source

14,720 次观看 • 3 年前

"#AI will never create clean meshes" AI 👇 This is the new #AI model from NVIDIA called Meshtron (jeez what a name 😅). It generates meshes of complex 3D objects closely resembling those created by professional artists. It opens the door to a more realistic generation of detailed 3D assets for animation, gaming, and virtual environments. The current version accepts the following control inputs: - Point cloud: Determines the shape of the output mesh. - Face count: Determines the density of the output mesh. - Quad ratio: Switches between quad and triangle tessellation. - Creativity: Can be adjusted to generate extra details in the model. Meshtron can either serve as a stand-alone remesher to improve the quality of existing models, or be used in tandem with a text-to-3D or image-to-3D model to generate artist-grade meshes from scratch.

"#AI will never create clean meshes" AI 👇 This is the new #AI model from NVIDIA called Meshtron (jeez what a name 😅). It generates meshes of complex 3D objects closely resembling those created by professional artists. It opens the door to a more realistic generation of detailed 3D assets for animation, gaming, and virtual environments. The current version accepts the following control inputs: - Point cloud: Determines the shape of the output mesh. - Face count: Determines the density of the output mesh. - Quad ratio: Switches between quad and triangle tessellation. - Creativity: Can be adjusted to generate extra details in the model. Meshtron can either serve as a stand-alone remesher to improve the quality of existing models, or be used in tandem with a text-to-3D or image-to-3D model to generate artist-grade meshes from scratch.

Gabriele Romagnoli

2,177,191 次观看 • 1 年前

Run UNO on your PC [NVIDiA ONLY] UNO is "One AI to rule them all", powered by Flux. You can mix&match subjects from multiple images to generate complex images! I wrote a 1-click launcher for the gradio app (VRAM requirement: 16GB) Watch me generate Totoro & Freeza fanfic imgs

Run UNO on your PC [NVIDiA ONLY] UNO is "One AI to rule them all", powered by Flux. You can mix&match subjects from multiple images to generate complex images! I wrote a 1-click launcher for the gradio app (VRAM requirement: 16GB) Watch me generate Totoro & Freeza fanfic imgs

cocktail peanut

51,922 次观看 • 1 年前

Are you ready to discover 🔥the future of GPT4 motivation as technology? Introducing METZAI 🤖the cutting-edge project that merges #CryptoTwitter and #AI to create a new paradigm #BSCNews . Join the revolution and be a part of something extraordinary. #GPT4 #CryptoGPT #BSCGem

Are you ready to discover 🔥the future of GPT4 motivation as technology? Introducing METZAI 🤖the cutting-edge project that merges #CryptoTwitter and #AI to create a new paradigm #BSCNews . Join the revolution and be a part of something extraordinary. #GPT4 #CryptoGPT #BSCGem

METZ✨#AI

11,562 次观看 • 3 年前

Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation paper page: Recent advances in generative modeling have led to promising progress on synthesizing 3D human motion from text, with methods that can generate character animations from short prompts and specified durations. However, using a single text prompt as input lacks the fine-grained control needed by animators, such as composing multiple actions and defining precise durations for parts of the motion. To address this, we introduce the new problem of timeline control for text-driven motion synthesis, which provides an intuitive, yet fine-grained, input interface for users. Instead of a single prompt, users can specify a multi-track timeline of multiple prompts organized in temporal intervals that may overlap. This enables specifying the exact timings of each action and composing multiple actions in sequence or at overlapping intervals. To generate composite animations from a multi-track timeline, we propose a new test-time denoising method. This method can be integrated with any pre-trained motion diffusion model to synthesize realistic motions that accurately reflect the timeline. At every step of denoising, our method processes each timeline interval (text prompt) individually, subsequently aggregating the predictions with consideration for the specific body parts engaged in each action. Experimental comparisons and ablations validate that our method produces realistic motions that respect the semantics and timing of given text prompts.

Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation paper page: Recent advances in generative modeling have led to promising progress on synthesizing 3D human motion from text, with methods that can generate character animations from short prompts and specified durations. However, using a single text prompt as input lacks the fine-grained control needed by animators, such as composing multiple actions and defining precise durations for parts of the motion. To address this, we introduce the new problem of timeline control for text-driven motion synthesis, which provides an intuitive, yet fine-grained, input interface for users. Instead of a single prompt, users can specify a multi-track timeline of multiple prompts organized in temporal intervals that may overlap. This enables specifying the exact timings of each action and composing multiple actions in sequence or at overlapping intervals. To generate composite animations from a multi-track timeline, we propose a new test-time denoising method. This method can be integrated with any pre-trained motion diffusion model to synthesize realistic motions that accurately reflect the timeline. At every step of denoising, our method processes each timeline interval (text prompt) individually, subsequently aggregating the predictions with consideration for the specific body parts engaged in each action. Experimental comparisons and ablations validate that our method produces realistic motions that respect the semantics and timing of given text prompts.

AK

126,612 次观看 • 2 年前

🚀Announcing the release of next-gen avatar platform, It’s now a matter of a few seconds to get your realistic, customizable 3D avatar from a 2d photo using Avaturn’s new generative AI. Developer? Integrate into your game or app, in 15 min. for free.

Avaturn

17,809 次观看 • 3 年前

Generate image, 3D, and video from a single sketch in one click in ComfyUI with AI! I’m excited to share a cutting-edge workflow I’ve developed that combines inside ComfyUI: Runway with fal. ai api (yes there is a node for it :) ), Stable AI’s stable fast 3D , powerful Flux, ControlNet, IPAdapter, Gemini LLm in ComfyUI. This innovation allows you to generate high-quality visuals and 3D models, reposition objects, and create videos—completely automated from a simple sketch input. Would you link a tutorial for it ? #AI #ComfyUI #3DModeling #Automation #CreativeTech

Generate image, 3D, and video from a single sketch in one click in ComfyUI with AI! I’m excited to share a cutting-edge workflow I’ve developed that combines inside ComfyUI: Runway with fal. ai api (yes there is a node for it :) ), Stable AI’s stable fast 3D , powerful Flux, ControlNet, IPAdapter, Gemini LLm in ComfyUI. This innovation allows you to generate high-quality visuals and 3D models, reposition objects, and create videos—completely automated from a simple sketch input. Would you link a tutorial for it ? #AI #ComfyUI #3DModeling #Automation #CreativeTech

Lovis Odin

36,789 次观看 • 1 年前

Been pushing Rive's new 3D and shader support to see what's possible 🚀 Using AI + scripting, I was able to: • Import 3D models • Generate cameras and lights • Create custom shaders (wireframe, AO, sketch, toon) • Build materials • Project animated textures onto 3D geometry • Place 2D components directly in 3D space It's pretty wild to see how quickly Rive is evolving into a true all-in-one platform for interactive design.

Been pushing Rive's new 3D and shader support to see what's possible 🚀 Using AI + scripting, I was able to: • Import 3D models • Generate cameras and lights • Create custom shaders (wireframe, AO, sketch, toon) • Build materials • Project animated textures onto 3D geometry • Place 2D components directly in 3D space It's pretty wild to see how quickly Rive is evolving into a true all-in-one platform for interactive design.

Sanu Sagar

18,218 次观看 • 2 个月前

You can now use AI to make an interactive 3D world from text prompts 🤯 Watch me use KREA AI's new Scene feature - I created the underground environment, and then prompted to drop in 3D meshes for objects. You can move, resize, or rotate the objects as you please!

You can now use AI to make an interactive 3D world from text prompts 🤯 Watch me use KREA AI's new Scene feature - I created the underground environment, and then prompted to drop in 3D meshes for objects. You can move, resize, or rotate the objects as you please!

Justine Moore

30,851 次观看 • 1 年前

📢📢 𝐏𝐞𝐫𝐜𝐇𝐞𝐚𝐝: 𝐏𝐞𝐫𝐜𝐞𝐩𝐭𝐮𝐚𝐥 𝐇𝐞𝐚𝐝 𝐌𝐨𝐝𝐞𝐥 𝐟𝐨𝐫 𝐒𝐢𝐧𝐠𝐥𝐞-𝐈𝐦𝐚𝐠𝐞 𝟑𝐃 𝐇𝐞𝐚𝐝 𝐑𝐞𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 & 𝐄𝐝𝐢𝐭𝐢𝐧𝐠📢📢 PercHead reconstructs realistic 3D heads from a single image and enables disentangled 3D editing via geometric controls and style inputs from images or text. At its core is a generalized 3D head decoder trained with perceptual supervision from DINOv2 and SAM 2.1. We find that our new perceptual loss formulation improves reconstruction fidelity compared to commonly-used methods such as LPIPS. Our trained reconstruction model is able to generate 3D-consistent heads from a single input image. Even with challenging side-view inputs, the model robustly infers missing regions for a coherent, high-fidelity output. In addition, our architecture seamlessly adapts to downstream tasks: by swapping the encoder, we can transform the model into a disentangled 3D editing pipeline. In this scenario, we can control geometry through - potentially hand-drawn - segmentation maps, and condition style via image or text prompt. We also provide an interactive GUI to enable the exploration of our editing pipeline. 🌍 📽️ Great work by Antonio Oroz and Tobias Kirschstein

📢📢 𝐏𝐞𝐫𝐜𝐇𝐞𝐚𝐝: 𝐏𝐞𝐫𝐜𝐞𝐩𝐭𝐮𝐚𝐥 𝐇𝐞𝐚𝐝 𝐌𝐨𝐝𝐞𝐥 𝐟𝐨𝐫 𝐒𝐢𝐧𝐠𝐥𝐞-𝐈𝐦𝐚𝐠𝐞 𝟑𝐃 𝐇𝐞𝐚𝐝 𝐑𝐞𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 & 𝐄𝐝𝐢𝐭𝐢𝐧𝐠📢📢 PercHead reconstructs realistic 3D heads from a single image and enables disentangled 3D editing via geometric controls and style inputs from images or text. At its core is a generalized 3D head decoder trained with perceptual supervision from DINOv2 and SAM 2.1. We find that our new perceptual loss formulation improves reconstruction fidelity compared to commonly-used methods such as LPIPS. Our trained reconstruction model is able to generate 3D-consistent heads from a single input image. Even with challenging side-view inputs, the model robustly infers missing regions for a coherent, high-fidelity output. In addition, our architecture seamlessly adapts to downstream tasks: by swapping the encoder, we can transform the model into a disentangled 3D editing pipeline. In this scenario, we can control geometry through - potentially hand-drawn - segmentation maps, and condition style via image or text prompt. We also provide an interactive GUI to enable the exploration of our editing pipeline. 🌍 📽️ Great work by Antonio Oroz and Tobias Kirschstein

Matthias Niessner

18,885 次观看 • 9 个月前

As the Imagination Sponsor for Bedtime Stories with Ryan, we want to tell the makers of tomorrow to dream big. But quietly, so we don’t wake them up. Watch now on the Maximum Effort Channel on Fubo and Streaming TV.

As the Imagination Sponsor for Bedtime Stories with Ryan, we want to tell the makers of tomorrow to dream big. But quietly, so we don’t wake them up. Watch now on the Maximum Effort Channel on Fubo and Streaming TV.

Autodesk

11,851 次观看 • 3 年前