51 citations · 206 across the 22 of their papers we have counts for
7 papers · 1 filter
Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering
Baixin Xu, Jiangbei Hu, Fei Hou +4
The advancements in neural rendering have increased the need for techniques that enable intuitive editing of 3D objects represented as neural implicit surfaces. This paper introduc…
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
Jianglin Fu, Shikai Li, Yuming Jiang +3
Human generation has achieved significant progress. Nonetheless, existing methods still struggle to synthesize specific regions such as faces and hands. We argue that the main reas…
Urban Radiance Field Representation with Deformable Neural Mesh Primitives
Fan Lu, Yan Xu, Guang Chen +3
Neural Radiance Fields (NeRFs) have achieved great success in the past few years. However, most current methods still require intensive resources due to ray marching-based renderin…
DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
Wei Cheng, Ruixiang Chen, Wanqi Yin +18
Realistic human-centric rendering plays a key role in both computer vision and computer graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing…
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
Dongwei Pan, Long Zhuo, Jingtan Piao +13
Synthesizing high-fidelity head avatars is a central problem for computer vision and graphics. While head avatar synthesis algorithms have advanced rapidly, the best ones still fac…
MonoHuman: Animatable Human Neural Field from Monocular Video
Zhengming Yu, Wei Cheng, Xian Liu +2
Animating virtual avatars with free-view control is crucial for various applications like virtual reality and digital entertainment. Previous studies have attempted to utilize the…
Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings
Baixin Xu, Jiarui Zhang, Kwan-Yee Lin +2
Reconstructing 3D human heads in low-view settings presents technical challenges, mainly due to the pronounced risk of overfitting with limited views and high-frequency signals. To…