8 papers
OmniRay: Camera-Agnostic Monocular 3D Reconstruction with Composite Ray Fields
Namitha Guruprasad, Abhay Yadav, Cheng Peng +2
Monocular models recover 3D geometry from a single image in one pass, but most assume a pinhole camera and produce distorted geometry on the wide-angle imagery produced by fisheye…
Act4R: Action-conditioned 4D reconstruction for kinematics-free control
Zhaoliang Zhang, Chenhao Yu, Zhimin Shao +2
Precise control of movement across various robotic embodiments is a longstanding challenge. Modeling complex robotic structures requires significant time, dedicated sensors, and ma…
Less Context, Better Geometry: Masked Geometric Encoder for Robust 3D Foundation Models
Zhimin Shao, Xijun Liu, Zhaoliang Zhang +4
Recent progress in 3D foundation models has enabled rapid 3D reconstruction and camera calibration by leveraging learned 3D priors from vast amount of spatial data. However, the al…
SyncFix: Fixing 3D Reconstructions via Multi-View Synchronization
Deming Li, Abhay Yadav, Cheng Peng +2
We present SyncFix, a framework that enforces cross-view consistency during the diffusion-based refinement of reconstructed scenes. SyncFix formulates refinement as a joint latent…
Uncertainty-quantified Pulse Signal Recovery from Facial Video using Regularized Stochastic Interpolants
Vineet R. Shenoy, Cheng Peng, Rama Chellappa +1
Imaging Photoplethysmography (iPPG), an optical procedure which recovers a human's blood volume pulse (BVP) waveform using pixel readout from a camera, is an exciting research fiel…
CAM3R: Camera-Agnostic Model for 3D Reconstruction
Namitha Guruprasad, Abhay Yadav, Cheng Peng +1
Recovering dense 3D geometry from unposed images remains a foundational challenge in computer vision. Current state-of-the-art models are predominantly trained on perspective datas…
Wrivinder: Towards Spatial Intelligence for Geo-locating Ground Images onto Satellite Imagery
Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Abhay Yadav +6
Aligning ground-level imagery with geo-registered satellite maps is crucial for mapping, navigation, and situational awareness, yet remains challenging under large viewpoint gaps o…
SPIDER: Spatial Image CorresponDence Estimator for Robust Calibration
Zhimin Shao, Abhay Yadav, Rama Chellappa +1
Reliable image correspondences form the foundation of vision-based spatial perception, enabling recovery of 3D structure and camera poses. However, unconstrained feature matching a…