11 citations · 22 across the 8 of their papers we have counts for
8 papers
Cinematic Compositing Using Character-Environment-Harmonized Video Generation Models
Tianyi Xiang, Mingming He, Li Ma +1
Cinematic compositing aims to integrate green-screen characters into novel environments while maintaining physical and photometric realism. Previous methods often fail to capture t…
Learning Stable Canonical Worlds for Novel View Synthesis and Beyond
Xiaoyu Xu, Jian Zou, Sheyang Tang +3
Feed-forward Gaussian splatting (FFGS) facilitates real-time novel view synthesis, yet current methods often remain tied to view-dependent predictions. As more input views are adde…
BoxCtrl: 3D-Aware Visual Prompting for Geometric Image Editing
Feifei Wang, Shiyuan Yang, Xiaoyu Li +1
As instruction-based editing models and multimodal large language models advance, diverse image editing tasks have become feasible. However, achieving precise and consistent geomet…
MeshFlow: Mesh Generation with Equivariant Flow Matching
Qi Sun, Kiyohiro Nakayama, Jing Nathan Yan +6
Meshes are among the most common 3D scene representations, but directly generating meshes is challenging because the representation contains important symmetries, including permuta…
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion Model
Hongliang Zhong, Can Wang, Jingbo Zhang +1
Generating and inserting new objects into 3D content is a compelling approach for achieving versatile scene recreation. Existing methods, which rely on SDS optimization or single-v…
Advances in 3D Generation: A Survey
Xiaoyu Li, Qi Zhang, Di Kang +7
Generating 3D models lies at the core of computer graphics and has been the focus of decades of research. With the emergence of advanced neural representations and generative model…
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…
VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization
Hongliang Zhong, Jingbo Zhang, Jing Liao
We propose VQ-NeRF, a two-branch neural network model that incorporates Vector Quantization (VQ) to decompose and edit reflectance fields in 3D scenes. Conventional neural reflecta…