PPaperPicks

Yu-Shen Liu

32 papers at tracked venues · 26 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction
  2. FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency
  3. GAP: Gaussianize Any Point Clouds with Text Guidance
  4. GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting
  5. Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
  6. Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering
  7. MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference
  8. MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
  9. NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
  10. Sharpening Neural Implicit Functions with Frequency Consolidation Priors
  11. Socially-Aware Robot Navigation Enhanced by Bidirectional Natural Language Conversations Using Large Language Models
  12. Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views
  13. SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies
  14. U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
  15. VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
  16. 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
  17. Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
  18. DiffGS: Functional Gaussian Splatting Diffusion
  19. EMBOSR: Embodied Spatial Reasoning for Enhanced Situated Question Answering in 3D Scenes
  20. GridFormer: Point-Grid Transformer for Surface Reconstruction
  21. Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
  22. Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images
  23. Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
  24. Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling
  25. Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
  26. Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors
  27. MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
  28. NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
  29. Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
  30. UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
  31. Uni3D: Exploring Unified 3D Representation at Scale
  32. Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly