Simon Giebenhain

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Giebenhain trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Leo P. Kadanoff (in Law)
  2. Thomas Vetter (in Computer Vision and Pattern Recognition)

Papers from Simon Giebenhain's perspective

Ordered by how strongly the researchers Simon Giebenhain trusts endorse each paper. Same corpus, a different order for every researcher.

  1. pixelNeRF: Neural Radiance Fields from One or Few Images
  2. Instant neural graphics primitives with a multiresolution hash encoding
  3. Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
  4. Space-time Neural Irradiance Fields for Free-Viewpoint Video (Computer Vision and Pattern Recognition)
  5. A 3D Face Model for Pose and Illumination Invariant Face Recognition
  6. Face Recognition Based on Fitting a 3D Morphable Model
  7. Deep video portraits (ACM Transactions on Graphics)
  8. Dynamic View Synthesis from Dynamic Monocular Video (IEEE International Conference on Computer Vision)
  9. Everybody Dance Now
  10. D-NeRF: Neural Radiance Fields for Dynamic Scenes (Computer Vision and Pattern Recognition)

Their papers