51 citations · 71 across the 9 of their papers we have counts for
9 papers
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
Roman Shapovalov, Yanir Kleiman, Ignacio Rocco +6
We introduce Replay, a collection of multi-view, multi-modal videos of humans interacting socially. Each scene is filmed in high production quality, from different viewpoints with…
CoTracker: It is Better to Track Together
Nikita Karaev, Ignacio Rocco, Benjamin Graham +3
We introduce CoTracker, a transformer-based model that tracks a large number of 2D points in long video sequences. Differently from most existing approaches that track points indep…
DynamicStereo: Consistent Dynamic Depth from Stereo Videos
Nikita Karaev, Ignacio Rocco, Benjamin Graham +3
We consider the problem of reconstructing a dynamic scene observed from a stereo camera. Most existing methods for depth from stereo treat different stereo frames independently, le…
Real-time volumetric rendering of dynamic humans
Ignacio Rocco, Iurii Makarov, Filippos Kokkinos +4
We present a method for fast 3D reconstruction and real-time rendering of dynamic humans from monocular videos with accompanying parametric body fits. Our method can reconstruct a…
Self-Supervised Correspondence Estimation via Multiview Registration
Mohamed El Banani, Ignacio Rocco, David Novotny +4
Video provides us with the spatio-temporal consistency needed for visual learning. Recent approaches have utilized this signal to learn correspondence estimation from close-by fram…
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein +4
Obtaining photorealistic reconstructions of objects from sparse views is inherently ambiguous and can only be achieved by learning suitable reconstruction priors. Earlier works on…
BodyMap: Learning Full-Body Dense Correspondence Map
Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu +2
Dense correspondence between humans carries powerful semantic information that can be utilized to solve fundamental problems for full-body understanding such as in-the-wild surface…
Reconstructing and grounding narrated instructional videos in 3D
Dimitri Zhukov, Ignacio Rocco, Ivan Laptev +4
Narrated instructional videos often show and describe manipulations of similar objects, e.g., repairing a particular model of a car or laptop. In this work we aim to reconstruct su…
Convolutional neural network architecture for geometric matching
Ignacio Rocco, Relja Arandjelović, Josef Sivic
We address the problem of determining correspondences between two images in agreement with a geometric model such as an affine or thin-plate spline transformation, and estimating i…