The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …

Abstract 3D content creation has achieved significant progress in terms of both quality and
speed. Although current feed-forward models can produce 3D objects in seconds, their …

We introduce GRM, a large-scale reconstructor capable of recovering a 3D asset from
sparse-view images in around 0.1 s. GRM is a feed-forward transformer-based model that …

We introduce MVSplat, an efficient model that, given sparse multi-view images as input,
predicts clean feed-forward 3D Gaussians. To accurately localize the Gaussian centers, we …

We present latentSplat, a method to predict semantic Gaussians in a 3D latent space that
can be splatted and decoded by a light-weight generative 2D architecture. Existing methods …

Radiance field methods have achieved photorealistic novel view synthesis and geometry
reconstruction. But they are mostly applied in per-scene optimization or small-baseline …

Performing language-conditioned robotic manipulation tasks in unstructured environments
is highly demanded for general intelligent robots. Conventional robotic manipulation …

This paper presents a novel method for building scalable 3D generative models utilizing pre-
trained video diffusion models. The primary obstacle in develo** foundation 3D …

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 …

The field of neural rendering has witnessed significant progress with advancements in
generative models and differentiable rendering techniques. Though 2D diffusion has …