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David Novotný

30 papers hereh-index 213.6k citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author9
  • middle author12
  • last author9

Across the 30 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CV29
  • cs.RO1
same name
  • David Novotný — 7 papers, h 3
  • David Novotný — 5 papers, h 4
  • David Novotný — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152025
most citedAccelerating 3D Deep Learning with PyTorch3D

120 citations · 171 across the 26 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022

Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation

Gil Avraham, Julian Straub, Tianwei Shen +7

This paper presents a framework that combines traditional keypoint-based camera pose optimization with an invertible neural rendering mechanism. Our proposed 3D scene representatio…

cs.RO2022

iSDF: Real-Time Neural Signed Distance Fields for Robot Perception

Joseph Ortiz, Alexander Clegg, Jing Dong +4

We present iSDF, a continual learning system for real-time signed distance field (SDF) reconstruction. Given a stream of posed depth images from a moving camera, it trains a random…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.