Abstract We present Stable Video 3D (SV3D)—a latent video diffusion model for high-
resolution, image-to-multi-view generation of orbital videos around a 3D object. Recent …

Open-world 3D generation has recently attracted considerable attention. While many single-
image-to-3D methods have yielded visually appealing outcomes, they often lack sufficient …

We present EchoScene, an interactive and controllable generative model that generates 3D
indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that …

Neural rendering has demonstrated remarkable success in dynamic scene reconstruction.
Thanks to the expressiveness of neural representations prior works can accurately capture …

Recent advances in 3D AIGC have shown promise in directly creating 3D objects from text
and images, offering significant cost savings in animation and product design. However …

Benefiting from the rapid development of 2D diffusion models, 3D content creation has made
significant progress recently. One promising solution involves the fine-tuning of pre-trained …

The recent advent of large-scale 3D data, eg Objaverse, has led to impressive progress in
training pose-conditioned diffusion models for novel view synthesis. However, due to the …

Estimating the pose of objects through vision is essential to make robotic platforms interact
with the environment. Yet, it presents many challenges, often related to the lack of flexibility …

Multi-view observations offer a broader perception of the real world, compared to
observations acquired from a single viewpoint. While existing multi-view 2D diffusion models …

Generating high-quality 3D assets from textual descriptions remains a pivotal challenge in
computer graphics and vision research. Due to the scarcity of 3D data, state-of-the-art …