Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using
supervision from pre-trained text-to-video models. However, existing representations, such …

Modern text-to-video synthesis models demonstrate coherent, photorealistic generation of
complex videos from a text description. However, most existing models lack fine-grained …

Advances in 3D generation have facilitated sequential 3D model generation (aka 4D
generation), yet its application for animatable objects with large motion remains scarce. Our …

Diffusion models have emerged as the leading paradigm in generative modeling, excelling
in various applications. Despite their success, these models often misalign with human …

Abstract This paper presents Invariant Score Distillation (ISD), a novel method for high-
fidelity text-to-3D generation. ISD aims to tackle the over-saturation and over-smoothing …

In this paper, we introduce\textbf {DimensionX}, a framework designed to generate
photorealistic 3D and 4D scenes from just a single image with video diffusion. Our approach …

Reconstructing 3D visuals from functional Magnetic Resonance Imaging (fMRI) data,
introduced as Recon3DMind in our conference work, is of significant interest to both …

We present GradualReality, a novel interface enabling a Cross Reality experience that
includes gradual interaction with physical objects in a virtual environment and supports both …

Existing feed-forward image-to-3D methods mainly rely on 2D multi-view diffusion models
that cannot guarantee 3D consistency. These methods easily collapse when changing the …

Numerous works have recently integrated 3D camera control into foundational text-to-video
models, but the resulting camera control is often imprecise, and video generation quality …