4 citations · 9 across the 5 of their papers we have counts for
5 papers
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
Yike Yuan, Ziyu Wang, Zihao Huang +4
Diffusion models have emerged as mainstream framework in visual generation. Building upon this success, the integration of Mixture of Experts (MoE) methods has shown promise in enh…
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
Longwen Zhang, Ziyu Wang, Qixuan Zhang +6
In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is often hampered by the limitations of existing digital tools, which demand extensi…
MVHuman: Tailoring 2D Diffusion with Multi-view Sampling For Realistic 3D Human Generation
Suyi Jiang, Haimin Luo, Haoran Jiang +3
Recent months have witnessed rapid progress in 3D generation based on diffusion models. Most advances require fine-tuning existing 2D Stable Diffsuions into multi-view settings or…
NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation
Ziyu Wang, Wei Yang, Junming Cao +3
Existing neural reconstruction schemes such as Neural Radiance Field (NeRF) are largely focused on modeling opaque objects. We present a novel neural refractive field(NeReF) to rec…
iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering
Liao Wang, Ziyu Wang, Pei Lin +5
Generating ``bullet-time'' effects of human free-viewpoint videos is critical for immersive visual effects and VR/AR experience. Recent neural advances still lack the controllable…