1 citations · 3 across the 6 of their papers we have counts for
7 papers
RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
Fang Li, Hao Zhang, Narendra Ahuja
Although COLMAP has long remained the predominant method for camera parameter optimization in static scenes, it is constrained by its lengthy runtime and reliance on ground truth (…
Self-Calibrating 4D Novel View Synthesis from Monocular Videos Using Gaussian Splatting
Fang Li, Hao Zhang, Narendra Ahuja
Gaussian Splatting (GS) has significantly elevated scene reconstruction efficiency and novel view synthesis (NVS) accuracy compared to Neural Radiance Fields (NeRF), particularly f…
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
Hao Zhang, Fang Li, Samyak Rawlekar +1
Reconstructing dynamic articulated objects from a singular monocular video is challenging, requiring joint estimation of shape, motion, and camera parameters from limited views. Cu…
MagicPose4D: Crafting Articulated Models with Appearance and Motion Control
Hao Zhang, Di Chang, Fang Li +2
With the success of 2D and 3D visual generative models, there is growing interest in generating 4D content. Existing methods primarily rely on text prompts to produce 4D content, b…
Learning Implicit Representation for Reconstructing Articulated Objects
Hao Zhang, Fang Li, Samyak Rawlekar +1
3D Reconstruction of moving articulated objects without additional information about object structure is a challenging problem. Current methods overcome such challenges by employin…
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
Hao Zhang, Fang Li, Lu Qi +2
Addressing Out-Of-Distribution (OOD) Segmentation and Zero-Shot Semantic Segmentation (ZS3) is challenging, necessitating segmenting unseen classes. Existing strategies adapt the c…
Open-NeRF: Towards Open Vocabulary NeRF Decomposition
Hao Zhang, Fang Li, Narendra Ahuja
In this paper, we address the challenge of decomposing Neural Radiance Fields (NeRF) into objects from an open vocabulary, a critical task for object manipulation in 3D reconstruct…