Hyena Hierarchy: Towards Larger Convolutional Language Models
Paper-reading notes: Hyena Hierarchy
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper-reading notes: Mamba
A survey for light field super-resolution
Paper-reading notes: A survey for light field super-resolution
Efficiently Modeling Long Sequences with Structured State Spaces
Paper-reading notes: S4
Retentive Network: A Successor to Transformer for Large Language Models
Paper-reading notes: RetNet
Exploiting Spatial and Angular Correlations With Deep Efficient Transformers for Light Field Image Super-Resolution
Paper-reading notes: LF-DET
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
Paper-reading notes: Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
Reference-Based Face Super-Resolution Using the Spatial Transformer
Paper-reading notes: Reference-Based Face Super-Resolution Using the Spatial Transformer
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
Paper-reading notes: LMR - A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
Latent Diffusion Models
Paper-reading notes: High-Resolution Image Synthesis with Latent Diffusion Models