Wonderjourney: Going from anywhere to everywhere

HX Yu, H Duan, J Hur, K Sargent… - Proceedings of the …, 2024 - openaccess.thecvf.com
We introduce WonderJourney a modular framework for perpetual 3D scene generation.
Unlike prior work on view generation that focuses on a single type of scenes we start at any …

Generative rendering: Controllable 4d-guided video generation with 2d diffusion models

S Cai, D Ceylan, M Gadelha… - Proceedings of the …, 2024 - openaccess.thecvf.com
Traditional 3D content creation tools empower users to bring their imagination to life by
giving them direct control over a scene's geometry appearance motion and camera path …

Advances in 3d generation: A survey

X Li, Q Zhang, D Kang, W Cheng, Y Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

Chasing consistency in text-to-3d generation from a single image

Y Ouyang, W Chai, J Ye, D Tao, Y Zhan… - arXiv preprint arXiv …, 2023 - arxiv.org
Text-to-3D generation from a single-view image is a popular but challenging task in 3D
vision. Although numerous methods have been proposed, existing works still suffer from the …

[PDF][PDF] Advances in 3D Generation: A Survey

JZZLJ Liao, YP Cao, Y Shan - arXiv preprint arXiv:2401.17807, 2024 - 3dvar.com
Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

World models for autonomous driving: An initial survey

Y Guan, H Liao, Z Li, J Hu, R Yuan, Y Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the rapidly evolving landscape of autonomous driving, the capability to accurately predict
future events and assess their implications is paramount for both safety and efficiency …

I-design: Personalized llm interior designer

A Çelen, G Han, K Schindler, L Van Gool… - arXiv preprint arXiv …, 2024 - arxiv.org
Interior design allows us to be who we are and live how we want-each design is as unique
as our distinct personality. However, it is not trivial for non-professionals to express and …

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control

Y Jia, L Hoyer, S Huang, T Wang… - Synthetic Data for …, 2023 - openreview.net
Large, pretrained latent diffusion models (LDMs) have demonstrated an extraordinary ability
to generate creative content, specialize to user data through few-shot fine-tuning, and …

Explorative Inbetweening of Time and Space

H Feng, Z Ding, Z Xia, S Niklaus, V Abrevaya… - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce bounded generation as a generalized task to control video generation to
synthesize arbitrary camera and subject motion based only on a given start and end frame …

MegaScenes: Scene-Level View Synthesis at Scale

J Tung, G Chou, R Cai, G Yang, K Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Scene-level novel view synthesis (NVS) is fundamental to many vision and graphics
applications. Recently, pose-conditioned diffusion models have led to significant progress …