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20162024
most citedMatterport3D: Learning from RGB-D Data in Indoor Environments

337 citations · 1.3k across the 62 of their papers we have counts for

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Showing 2021Show all

20 papers · 1 filter

cs.CV2021

TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations

Shivangi Aneja, Lev Markhasin, Matthias Niessner

Face manipulation methods can be misused to affect an individual's privacy or to spread disinformation. To this end, we introduce a novel data-driven approach that produces image-s…

cs.CV2021★ 16 cited

Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

Barbara Roessle, Jonathan T. Barron, Ben Mildenhall +2

Neural radiance fields (NeRF) encode a scene into a neural representation that enables photo-realistic rendering of novel views. However, a successful reconstruction from RGB image…

cs.RO2021

Pose2Room: Understanding 3D Scenes from Human Activities

Yinyu Nie, Angela Dai, Xiaoguang Han +1

With wearable IMU sensors, one can estimate human poses from wearable devices without requiring visual input~\cite{von2017sparse}. In this work, we pose the question: Can we reason…

cs.CV2021

4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding

Yujin Chen, Matthias Nießner, Angela Dai

We present a new approach to instill 4D dynamic object priors into learned 3D representations by unsupervised pre-training. We observe that dynamic movement of an object through an…

cs.CV2021

ROCA: Robust CAD Model Retrieval and Alignment from a Single Image

Can Gümeli, Angela Dai, Matthias Nießner

We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models from a shape database to a single input image. This enables 3D perception of an observed scene…

cs.CV2021

Neural Head Avatars from Monocular RGB Videos

Philip-William Grassal, Malte Prinzler, Titus Leistner +3

We present Neural Head Avatars, a novel neural representation that explicitly models the surface geometry and appearance of an animatable human avatar that can be used for teleconf…