13 citations · 32 across the 11 of their papers we have counts for
15 papers · 1 filter
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation
Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja +2
Intrinsic image decomposition and inverse rendering are long-standing problems in computer vision. To evaluate albedo recovery, most algorithms report their quantitative performanc…
MVPSNet: Fast Generalizable Multi-view Photometric Stereo
Dongxu Zhao, Daniel Lichy, Pierre-Nicolas Perrin +2
We propose a fast and generalizable solution to Multi-view Photometric Stereo (MVPS), called MVPSNet. The key to our approach is a feature extraction network that effectively combi…
A Surface-normal Based Neural Framework for Colonoscopy Reconstruction
Shuxian Wang, Yubo Zhang, Sarah K. McGill +4
Reconstructing a 3D surface from colonoscopy video is challenging due to illumination and reflectivity variation in the video frame that can cause defective shape predictions. Aimi…
Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement
Akshay Paruchuri, Xin Liu, Yulu Pan +3
Machine learning models for camera-based physiological measurement can have weak generalization due to a lack of representative training data. Body motion is one of the most signif…
Universal Guidance for Diffusion Models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild +4
Typical diffusion models are trained to accept a particular form of conditioning, most commonly text, and cannot be conditioned on other modalities without retraining. In this work…
Towards Unified Keyframe Propagation Models
Patrick Esser, Peter Michael, Soumyadip Sengupta
Many video editing tasks such as rotoscoping or object removal require the propagation of context across frames. While transformers and other attention-based approaches that aggreg…