Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Accepted at #ECCV2024 🇮🇹 See you in Milan! PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis Jason Yu Tristan Aumentado-Armstrong Fereshteh Forghani Marcus Brubaker and me Paper:

CSProfKGD's profile picture

Kosta Derpanis

84,909 subscribers

28,814 görüntüleme • 2 yıl önce •via X (Twitter)

EğitimBilim & TeknolojiHaberler & Politika#ECCV2024
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

We're releasing OVIE, a novel view generation model trained entirely on single images. No multi-view datasets needed. Given a single image, it generates novel views of any scene in real time, running orders of magnitude faster than competing approaches.
0:16

We're releasing OVIE, a novel view generation model trained entirely on single images. No multi-view datasets needed. Given a single image, it generates novel views of any scene in real time, running orders of magnitude faster than competing approaches.

kyutai

31,449 görüntüleme • 7 ay önce

Bai et al., "Positional Encoding Field" Make your RoPE encoding 3D by including a z axis, then manipulate your image by simply manipulating your positional encoding in 3D --> novel view synthesis. Neat idea.
0:19

Bai et al., "Positional Encoding Field" Make your RoPE encoding 3D by including a z axis, then manipulate your image by simply manipulating your positional encoding in 3D --> novel view synthesis. Neat idea.

Kwang Moo Yi

47,086 görüntüleme • 1 yıl önce

OmniShowcase Omnidirectional Subject-Consistent Video Generation from Multi-View Images paper:
0:18

OmniShowcase Omnidirectional Subject-Consistent Video Generation from Multi-View Images paper:

AK

17,710 görüntüleme • 12 gün önce

Check out MultiDiff #CVPR2024! From a single RGB image, MultiDiff enables scene-level novel view synthesis with free camera control. Great work by @normanisation Katja Schwarz Barbara Roessle, L Porzi, S Rota Bulò, P Kontschieder
0:15

Check out MultiDiff #CVPR2024! From a single RGB image, MultiDiff enables scene-level novel view synthesis with free camera control. Great work by @normanisation Katja Schwarz Barbara Roessle, L Porzi, S Rota Bulò, P Kontschieder

Matthias Niessner

39,071 görüntüleme • 2 yıl önce

We introduce TurboEdit -- simple text-based image editing in 1/2 sec! We leverage few-step diffusion models, mapping real images into noise with an encoder. Please see our #ECCV2024 paper: Work w/ Zongze Wu, Nick Kolkin, Jon Brandt, Eli Shechtman 1/
0:15

We introduce TurboEdit -- simple text-based image editing in 1/2 sec! We leverage few-step diffusion models, mapping real images into noise with an encoder. Please see our #ECCV2024 paper: Work w/ Zongze Wu, Nick Kolkin, Jon Brandt, Eli Shechtman 1/

Richard Zhang

39,306 görüntüleme • 2 yıl önce

Adaptive and Temporally Consistent Gaussian Surfels for Multi-view Dynamic Reconstruction Contributions: • A method for efficiently reconstructing dynamic surfaces from multi-view videos using Gaussian surfels. • A unified and gradient-aware densification strategy for optimizing dynamic 3D Gaussians with fine details. • A temporal consistency approach that ensures stable and coherent surface reconstructions across frames by enforcing consistency on curvature maps. • Extensive experiments that demonstrate our method’s advantages including fast training, high-fidelity novel view synthesis, and accurate surface geometry.
0:11

Adaptive and Temporally Consistent Gaussian Surfels for Multi-view Dynamic Reconstruction Contributions: • A method for efficiently reconstructing dynamic surfaces from multi-view videos using Gaussian surfels. • A unified and gradient-aware densification strategy for optimizing dynamic 3D Gaussians with fine details. • A temporal consistency approach that ensures stable and coherent surface reconstructions across frames by enforcing consistency on curvature maps. • Extensive experiments that demonstrate our method’s advantages including fast training, high-fidelity novel view synthesis, and accurate surface geometry.

MrNeRF

31,828 görüntüleme • 2 yıl önce

We are happy to announce that ComfyUI now natively supports toad Hunyuan3D 2.0 and Hunyuan3D 2.0 MV (Multi-View) model series! 3 workflows to get started: 🔹Hunyuan3D-2 mv: multi-view to 3D 🔹Hunyuan3D-2 mv Turbo: accelerated multi-view 🔹Hunyuan3D-2: single image to 3D
0:16

We are happy to announce that ComfyUI now natively supports toad Hunyuan3D 2.0 and Hunyuan3D 2.0 MV (Multi-View) model series! 3 workflows to get started: 🔹Hunyuan3D-2 mv: multi-view to 3D 🔹Hunyuan3D-2 mv Turbo: accelerated multi-view 🔹Hunyuan3D-2: single image to 3D

ComfyUI

66,958 görüntüleme • 1 yıl önce

whippin da benz me and bro ain’t got no planz you see me in traffic we movin real fast you can see us in your rear view lens
0:10

whippin da benz me and bro ain’t got no planz you see me in traffic we movin real fast you can see us in your rear view lens

Ricky

46,852 görüntüleme • 2 yıl önce

SpaceX Multi-cam view.
0:14

SpaceX Multi-cam view.

Yatharth Mann

224,735 görüntüleme • 2 yıl önce

Multi-step synthesis in action 🎬
0:17

Multi-step synthesis in action 🎬

Maciek Majdecki

11,600 görüntüleme • 1 yıl önce

The Stable Video Diffusion model just dropped 🔥 The new model supports: – Text-to-Video – Image-to-Video – 14 or 25 frames at 576 x 1024 – Multi-View Generation – Frame Interpolation – 3D Scene Understanding – Camera Control via LoRA Paper: Code: SVD model: SVD-XT model:
0:10

The Stable Video Diffusion model just dropped 🔥 The new model supports: – Text-to-Video – Image-to-Video – 14 or 25 frames at 576 x 1024 – Multi-View Generation – Frame Interpolation – 3D Scene Understanding – Camera Control via LoRA Paper: Code: SVD model: SVD-XT model:

Dreaming Tulpa 🥓👑

457,895 görüntüleme • 3 yıl önce

Introducing Multi View ✨ Drop in any image and it generates multiple shots of it - close-ups, mood shots, lifestyle scenes, alternate perspectives. Every direction your image could go, all from a single input. Now live on OpenArt.
0:18

Introducing Multi View ✨ Drop in any image and it generates multiple shots of it - close-ups, mood shots, lifestyle scenes, alternate perspectives. Every direction your image could go, all from a single input. Now live on OpenArt.

OpenArt

2,082,653 görüntüleme • 6 ay önce

are you looking at the view or are you looking at me?
0:11

are you looking at the view or are you looking at me?

🌺Thorny🌺 cat enVtuber 🌸

18,673 görüntüleme • 2 ay önce

AI is so trippy. This entire scene, including the exterior, was created from a single image of the ovens in the interior. This is a multi-view reconstruction, not a video. No v2v used. Prompt image in reply.
0:18

AI is so trippy. This entire scene, including the exterior, was created from a single image of the ovens in the interior. This is a multi-view reconstruction, not a video. No v2v used. Prompt image in reply.

martin_casado

54,391 görüntüleme • 1 yıl önce

Introducing VR-NeRF (SIGGRAPH Asia ➡️ Kuala Lumpur, Malaysia 2023): 🤩 multi-camera rig for multi-view HDR capture 🤓 perceptual HDR optimization + level of detail 😎 real-time multi-GPU VR rendering Project: Paper: Dataset:
0:18

Introducing VR-NeRF (SIGGRAPH Asia ➡️ Kuala Lumpur, Malaysia 2023): 🤩 multi-camera rig for multi-view HDR capture 🤓 perceptual HDR optimization + level of detail 😎 real-time multi-GPU VR rendering Project: Paper: Dataset:

Christian Richardt

121,719 görüntüleme • 3 yıl önce

The annual toilet paper game between William Penn and Grand View.
0:15

The annual toilet paper game between William Penn and Grand View.

Mr. SOUNDOFF

15,833 görüntüleme • 9 ay önce