Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

3D-aware Conditional Image Synthesis abs: project page:

AK

488,280 subscribers

301,415 views • 3 years ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

Private livecam show

11 Comments

pharmapsychotic3 years ago

oooooh

Places Visited & Pictures Taken3 years ago

How do you choose the best picture in less time?

William Antônio3 years ago

Awesome work!! Can this be exported to STL?

digistamp3 years ago

Insane

N.E.A3 years ago

@DotCSV mira esto 🤯🤯🤯

Jim Monge3 years ago

Oh wow this is incredible! Text-to-3d is coming 🤯

actuallyasriel -- semi-inactive3 years ago

bro WHAT!!!

Vinicius Salles3 years ago

wooooooooo!! sensacional 👏👏👏👏👏

Willhart3 years ago

Nice~

Alfonso3 years ago

@DotCSV

Rafael Ludwig3 years ago

Wow

Related Videos

Generative Novel View Synthesis with 3D-Aware Diffusion Models abs: project page:

Generative Novel View Synthesis with 3D-Aware Diffusion Models abs: project page:

AK

304,708 views • 3 years ago

SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections abs: project page:

SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections abs: project page:

AK

317,605 views • 3 years ago

Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior abs: project page:

Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior abs: project page:

AK

163,868 views • 3 years ago

Word-As-Image for Semantic Typography abs: project page:

Word-As-Image for Semantic Typography abs: project page:

AK

385,996 views • 3 years ago

Towards Realistic Generative 3D Face Models abs: project page:

Towards Realistic Generative 3D Face Models abs: project page:

AK

48,089 views • 3 years ago

📢Introducing 360Anything, our method for lifting any perspective image or video to gravity-aligned 360° panoramas without using any camera or 3D information. This enables consistent novel view synthesis and 3D scene reconstruction. Project page: 🧵

📢Introducing 360Anything, our method for lifting any perspective image or video to gravity-aligned 360° panoramas without using any camera or 3D information. This enables consistent novel view synthesis and 3D scene reconstruction. Project page: 🧵

Ziyi Wu

46,766 views • 4 months ago

Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion abs: project page:

Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion abs: project page:

AK

262,780 views • 3 years ago

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models turn the publicly available, state-of-the-art text-to-image LDM Stable Diffusion into an efficient and expressive text-to-video model with resolution up to 1280 x 2048 abs: project page:

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models turn the publicly available, state-of-the-art text-to-image LDM Stable Diffusion into an efficient and expressive text-to-video model with resolution up to 1280 x 2048 abs: project page:

AK

718,682 views • 3 years ago

Introducing ShapeR, a method for robust conditional 3D shape generation from casually captured sequences. ShapeR leverages a rectified flow transformer conditioned on per-object multimodal data to turn casual image sequences into full metric scene reconstructions. Project Page: Paper: Links to code and huggingface below ⬇️

Introducing ShapeR, a method for robust conditional 3D shape generation from casually captured sequences. ShapeR leverages a rectified flow transformer conditioned on per-object multimodal data to turn casual image sequences into full metric scene reconstructions. Project Page: Paper: Links to code and huggingface below ⬇️

Yawar Siddiqui

62,611 views • 4 months ago

Image & video synthesis struggle with the scale of truly large 3D scenes. mschneider456 presents a geometry-first approach : - structure first: mesh scaffold defining the scene - then appearance: mesh-conditioned image synthesis Check it out:

Image & video synthesis struggle with the scale of truly large 3D scenes. mschneider456 presents a geometry-first approach : - structure first: mesh scaffold defining the scene - then appearance: mesh-conditioned image synthesis Check it out:

Angela Dai

19,411 views • 2 months ago

GeoCode: Interpretable Shape Programs abs: project page:

GeoCode: Interpretable Shape Programs abs: project page:

AK

1,428,749 views • 3 years ago

Single Motion Diffusion abs: project page:

Single Motion Diffusion abs: project page:

AK

72,767 views • 3 years ago

MusicLM: Generating Music From Text abs: project page:

MusicLM: Generating Music From Text abs: project page:

AK

434,142 views • 3 years ago

LERF: Language Embedded Radiance Fields TL;DR: Grounding CLIP vectors volumetrically inside a NeRF allows flexible natural language queries in 3D abs: project page:

LERF: Language Embedded Radiance Fields TL;DR: Grounding CLIP vectors volumetrically inside a NeRF allows flexible natural language queries in 3D abs: project page:

AK

251,224 views • 3 years ago

Designing an Encoder for Fast Personalization of Text-to-Image Models TL;DR: use an encoder to personalize a text-to-image model to new concepts with a single image and 5-15 tuning steps abs: project page:

Designing an Encoder for Fast Personalization of Text-to-Image Models TL;DR: use an encoder to personalize a text-to-image model to new concepts with a single image and 5-15 tuning steps abs: project page:

AK

165,151 views • 3 years ago

ReBotNet: Fast Real-time Video Enhancement abs: project page:

ReBotNet: Fast Real-time Video Enhancement abs: project page:

AK

111,249 views • 3 years ago

Scaling up GANs for Text-to-Image Synthesis present our 1B-parameter GigaGAN, achieving lower FID than Stable Diffusion v1.5, DALL·E 2, and Parti-750M. It generates 512px outputs at 0.13s, orders of magnitude faster than diffusion and autoregressive models, and inherits the disentangled, continuous, and controllable latent space of GANs abs: project page:

Scaling up GANs for Text-to-Image Synthesis present our 1B-parameter GigaGAN, achieving lower FID than Stable Diffusion v1.5, DALL·E 2, and Parti-750M. It generates 512px outputs at 0.13s, orders of magnitude faster than diffusion and autoregressive models, and inherits the disentangled, continuous, and controllable latent space of GANs abs: project page:

AK

278,115 views • 3 years ago

(1/10) 🔥Thrilled to introduce OneDiffusion—our latest work in unified diffusion modeling! 🚀 This model bridges the gap between image synthesis and understanding, excelling in a wide range of tasks: T2I, conditional generation, image understanding, identity preservation, multiview generation, and even camera pose estimation. Learn more at: Project: arXiv: Code (on the way):

(1/10) 🔥Thrilled to introduce OneDiffusion—our latest work in unified diffusion modeling! 🚀 This model bridges the gap between image synthesis and understanding, excelling in a wide range of tasks: T2I, conditional generation, image understanding, identity preservation, multiview generation, and even camera pose estimation. Learn more at: Project: arXiv: Code (on the way):

Jiasen Lu

33,383 views • 1 year ago

🏗️ Build #3D scenes from a single input view based on the latest #NVIDIAResearch paper accepted at #ICCV2023. 👀 This 3D-aware #generativeAI model can build diverse and plausible views. research paper: project page:

🏗️ Build #3D scenes from a single input view based on the latest #NVIDIAResearch paper accepted at #ICCV2023. 👀 This 3D-aware #generativeAI model can build diverse and plausible views. research paper: project page:

NVIDIA AI Developer

113,832 views • 2 years ago

Real-Time Neural Light Field on Mobile Devices abs: project page:

Real-Time Neural Light Field on Mobile Devices abs: project page:

AK

56,201 views • 3 years ago