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 …

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 …

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 …

This paper introduces the Imperial Light-Stage Head (ILSH) dataset, a novel light-stage-
captured human head dataset designed to support view synthesis academic challenges for …

Image and video synthesis has become a blooming topic in computer vision and machine
learning communities along with the developments of deep generative models, due to its …

We present CosmicMan a text-to-image foundation model specialized for generating high-
fidelity human images. Unlike current general-purpose foundation models that are stuck in …