3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 2 cited
StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos
Sijie Zhao, Wenbo Hu, Xiaodong Cun +6
This paper presents a novel framework for converting 2D videos to immersive stereoscopic 3D, addressing the growing demand for 3D content in immersive experience. Leveraging founda…
cs.CV2024★ 3 cited
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
Wangbo Yu, Jinbo Xing, Li Yuan +7
Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-view captures restricts their broader applicability. In this work, we propose \textbf{ViewCra…
cs.CV2023
HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion
Jingbo Zhang, Xiaoyu Li, Qi Zhang +3
Generating a 3D human model from a single reference image is challenging because it requires inferring textures and geometries in invisible views while maintaining consistency with…