AI RESEARCH
GaINeR: Geometry-Aware Implicit Network Representation
arXiv CS.CV
•
ArXi:2511.20924v2 Announce Type: replace Implicit Neural Representations (INRs) are widely used for modeling continuous 2D images, enabling high-fidelity reconstruction, super-resolution, and compression. Architectures such as SIREN, WIRE, and FINER nstrate their ability to capture fine image details. However, conventional INRs lack explicit geometric structure, limiting local editing, and integration with physical simulation.