Anydoor: Zero-shot object-level image customization

X Chen, L Huang, Y Liu, Y Shen… - Proceedings of the …, 2024 - openaccess.thecvf.com
This work presents AnyDoor a diffusion-based image generator with the power to teleport
target objects to new scenes at user-specified locations with desired shapes. Instead of …

Dreamgaussian4d: Generative 4d gaussian splatting

J Ren, L Pan, J Tang, C Zhang, A Cao, G Zeng… - arxiv preprint arxiv …, 2023 - arxiv.org
Remarkable progress has been made in 4D content generation recently. However, existing
methods suffer from long optimization time, lack of motion controllability, and a low level of …

LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation

Y Lan, F Hong, S Yang, S Zhou, X Meng, B Dai… - … on Computer Vision, 2024 - Springer
The field of neural rendering has witnessed significant progress with advancements in
generative models and differentiable rendering techniques. Though 2D diffusion has …

Generative ai meets 3d: A survey on text-to-3d in aigc era

C Li, C Zhang, J Cho, A Waghwase, LH Lee… - arxiv preprint arxiv …, 2023 - arxiv.org
Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …