PPaperPicks

Zhizhong Han

24 papers at tracked venues · 21 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details
  2. VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction
  3. GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting
  4. Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
  5. MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference
  6. MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
  7. NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
  8. Query Quantized Neural SLAM
  9. Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions
  10. Sharpening Neural Implicit Functions with Frequency Consolidation Priors
  11. SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies
  12. U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
  13. VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians
  14. 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
  15. Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
  16. Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images
  17. Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
  18. Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling
  19. Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
  20. Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors
  21. MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
  22. Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
  23. UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
  24. Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly