- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
- DiGS Divergence guided shape implicit neural representation for unoriented point clouds
- Implicit Neural Representations with Periodic Activation Functions
- Implicit Neural Spatial Representations for Time-dependent PDEs
- 3D Compression
- COIN and COIN++ for Image Compression
- Learned Initializations for Optimizing Coordinate-Based Neural Representations-slide
- Learning Smooth Neural Functions via Lipschitz Regularization-slide
- NeRV-Neural Representations for Videos-slides
- Real-time Neural Radiance Caching for Path Tracing-slide
- Neural Implicit Surface Evolution using Differential Equations-slide
- A Level Set Theory for Neural Implicit Evolution under Explicit Flows-slide
- Transformers as Meta-Learners for Implicit Neural Representations-slide
- Generalizable Implicit Neural Representations via Instance Pattern Composers-slide
- Neural Implicit Dictionary Learning via Mixture-of-Expert Training-slide
- Towards Scalable Neural Representation for Diverse Videos-slide
- Neural Vector Fields-slide
- Regularize implicit neural representation by itself-slide
- OReX - Object Reconstruction from Planar Cross-sections Using Neural Fields
- CN-DHF-Compact Neural Double Height-Field Representations of 3D Shapes-slide
- SDF Reconstruction Review
- SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations
- Neural skeleton - Implicit neural representation away from the surface-slide