This paper targets high-fidelity and real-time view synthesis of dynamic 3D scenes at 4K
resolution. Recent methods on dynamic view synthesis have shown impressive rendering …

We present GauHuman a 3D human model with Gaussian Splatting for both fast training (1 2
minutes) and real-time rendering (up to 189 FPS) compared with existing NeRF-based …

Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion
capture with numerous applications. Despite encouraging progress, current state-of-the-art …

This work addresses the problem of real-time rendering of photorealistic human body
avatars learned from multi-view videos. While the classical approaches to model and render …

Despite recent research advancements in reconstructing clothed humans from a single
image, accurately restoring the “unseen regions” with high-level details remains an …

We present a novel approach for generating 360-degree high-quality, spatiotemporally
coherent human videos from a single image. Our framework combines the strengths of …

This paper aims to tackle the challenge of dynamic view synthesis from multi-view videos.
The key observation is that while previous grid-based methods offer consistent rendering …

We consider the problem of novel-view synthesis (NVS) for dynamic scenes. Recent neural
approaches have accomplished exceptional NVS results for static 3D scenes, but …

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 …

In this era the success of large language models and text-to-image models can be attributed
to the driving force of large-scale datasets. However in the realm of 3D vision while …