Yin Yang

Computer Vision and Pattern Recognition · with Feng · 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 Yin Yang trusts

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

  1. Jan-Michael Frahm (in Computer Vision and Pattern Recognition)
  2. Johannes L. Schönberger (in Computer Vision and Pattern Recognition)

Papers from Yin Yang's perspective

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

  1. Instant neural graphics primitives with a multiresolution hash encoding
  2. 3D Gaussian Splatting for Real-Time Radiance Field Rendering (ACM Transactions on Graphics)
  3. Structure-from-Motion Revisited
  4. Pixelwise View Selection for Unstructured Multi-View Stereo
  5. Nerfies: Deformable Neural Radiance Fields (IEEE International Conference on Computer Vision)
  6. NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction (Neural Information Processing Systems)
  7. Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis (International Conference on 3D Vision)
  8. Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction (Computer Vision and Pattern Recognition)
  9. Point-NeRF: Point-based Neural Radiance Fields (Computer Vision and Pattern Recognition)
  10. Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction (Computer Vision and Pattern Recognition)

Their papers