#cvpr2023

Anya Rossi

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✨Introducing Neuralangelo✨ A new #AI model to turn 2D video from any device -- cell phone to drone capture -- into 3D structures with intricate details. New from #NVIDIAResearch #CVPR2023 Read more:

✨Introducing Neuralangelo✨ A new #AI model to turn 2D video from any device -- cell phone to drone capture -- into 3D structures with intricate details. New from #NVIDIAResearch #CVPR2023 Read more:

NVIDIA AI Developer

497,945 просмотров • 3 лет назад

We relived Michelangelo in neural network style!! Super excited to finally share Neuralangelo 🛠 -- 3D surface reconstruction from RGB videos with extremely high fidelity! 🤩 To appear at #CVPR2023 project page: paper: 🧵⬇️ (1/4)

We relived Michelangelo in neural network style!! Super excited to finally share Neuralangelo 🛠 -- 3D surface reconstruction from RGB videos with extremely high fidelity! 🤩 To appear at #CVPR2023 project page: paper: 🧵⬇️ (1/4)

253,350 просмотров • 3 лет назад

Stable Diffusion generates beautiful images, but can it be used for open-world recognition? Try Demo! Our #CVPR2023 paper shows that the pre-trained diffusion model indeed is a good image parser, allows for open-vocabulary segmentation and detection.

Stable Diffusion generates beautiful images, but can it be used for open-world recognition? Try Demo! Our #CVPR2023 paper shows that the pre-trained diffusion model indeed is a good image parser, allows for open-vocabulary segmentation and detection.

241,243 просмотров • 3 лет назад

Excited to share Norman Müller's DiffRF: Rendering-guided 3D Radiance Field Diffusion #CVPR2023 highlight! 2D diffusion is great, but what about 3D? We show radiance field diffusion with rendering guidance for consistent and editable 3D synthesis. Vid:

Excited to share Norman Müller's DiffRF: Rendering-guided 3D Radiance Field Diffusion #CVPR2023 highlight! 2D diffusion is great, but what about 3D? We show radiance field diffusion with rendering guidance for consistent and editable 3D synthesis. Vid:

Matthias Niessner

118,156 просмотров • 3 лет назад

The robot climbs stairs🏯, steps over stones 🪨, and runs in the wild🏞️, all in one policy, without any remote control! Our #CVPR2023 Highlight paper achieves this by using RL + a 3D Neural Volumetric Memory (NVM) trained with view synthesis!

The robot climbs stairs🏯, steps over stones 🪨, and runs in the wild🏞️, all in one policy, without any remote control! Our #CVPR2023 Highlight paper achieves this by using RL + a 3D Neural Volumetric Memory (NVM) trained with view synthesis!

113,006 просмотров • 3 лет назад

Super excited to share that my first project as a PhD student was accepted at CVPR 2023! #CVPR2023 😄 We show how to recover accurate camera poses from as few as 3 images! More details to come! w/ Jason Y. Zhang Andrea Tagliasacchi 🇨🇦→✈️→🇺🇲 (@CVPR) Igor Gilitschenski David Lindell

Super excited to share that my first project as a PhD student was accepted at CVPR 2023! #CVPR2023 😄 We show how to recover accurate camera poses from as few as 3 images! More details to come! w/ Jason Y. Zhang Andrea Tagliasacchi 🇨🇦→✈️→🇺🇲 (@CVPR) Igor Gilitschenski David Lindell

100,087 просмотров • 3 лет назад

Excited to share our #CVPR2023 on synthesizing new views along a camera trajectory from a **single image**! How? 💡 The good old epipolar constraints in a pose-guided diffusion model! Paper: Project:

Excited to share our #CVPR2023 on synthesizing new views along a camera trajectory from a single image! How? 💡 The good old epipolar constraints in a pose-guided diffusion model! Paper: Project:

94,199 просмотров • 3 лет назад

🚨Crowded scenes are notoriously difficult for #ComputerVision models. In our new work lead by Zhou Mu & Lucas Stoffl we developed a novel approach called BUCTD that is state-of-the-art on crowded 🐒🐠&🕺human pose estimation benchmarks!🔥 #CVPR2023 workshop

🚨Crowded scenes are notoriously difficult for #ComputerVision models. In our new work lead by Zhou Mu & Lucas Stoffl we developed a novel approach called BUCTD that is state-of-the-art on crowded 🐒🐠&🕺human pose estimation benchmarks!🔥 #CVPR2023 workshop

Mackenzie Weygandt Mathis, PhD

67,217 просмотров • 3 лет назад

(1/2) Excited to share "Learning Neural Parametric Head Models" #CVPR2023! We capture over 5200 high-quality 3D human head scans from which we build a neural parametric head model that disentangles & expressions and deformations.

(1/2) Excited to share "Learning Neural Parametric Head Models" #CVPR2023! We capture over 5200 high-quality 3D human head scans from which we build a neural parametric head model that disentangles & expressions and deformations.

Matthias Niessner

53,312 просмотров • 3 лет назад

Monocular depth estimation is “impossible” because one image can’t measure depth geometrically. Our iDisc #CVPR2023 can group pixels w/o supervision and learn depth inductive bias on groups. We get LiDAR-like (but denser) depth from single images! More:

Monocular depth estimation is “impossible” because one image can’t measure depth geometrically. Our iDisc #CVPR2023 can group pixels w/o supervision and learn depth inductive bias on groups. We get LiDAR-like (but denser) depth from single images! More:

52,267 просмотров • 3 лет назад

Accepted by #CVPR2023! X-Decoder is the FIRST generalist decoder that supports all segmentation tasks (ins/sem/pano/ref) in OPEN VOCABULARY, both inter- AND intra-image VL tasks, and even helps instruct image inpainting/editing! New demo below and more at

Accepted by #CVPR2023! X-Decoder is the FIRST generalist decoder that supports all segmentation tasks (ins/sem/pano/ref) in OPEN VOCABULARY, both inter- AND intra-image VL tasks, and even helps instruct image inpainting/editing! New demo below and more at

51,930 просмотров • 3 лет назад

Capturing out-of-focus photos is sooo frustrating! 😩 Check out our work on defocus control with dual-camera 📸 #CVPR2023 Our method can refocus and adjust the depth of field AFTER you capture the photograph! 🤩 Paper: Project:

Capturing out-of-focus photos is sooo frustrating! 😩 Check out our work on defocus control with dual-camera 📸 #CVPR2023 Our method can refocus and adjust the depth of field AFTER you capture the photograph! 🤩 Paper: Project:

41,330 просмотров • 3 лет назад