IEEE

I-Filtering: Implicit Filtering for Learning Neural Distance Functions from 3D Point Clouds

Abstract: Neural implicit functions including signed distance functions (SDFs) and unsigned distance functions (UDFs) have shown powerful ability in fitting the shape geometry. However, inferring ...
GitHub

GaINeR: Geometry-Aware Implicit Neural Representation for Image Editing

Abstract: Implicit Neural Representations (INRs) have become an essential tool for modeling continuous 2D images, enabling high-fidelity reconstruction, super-resolution, and compression. Popular ...
GitHub

Seeing through Imagination: Learning Scene Geometry via Implicit Spatial World Modeling

Abstract. Spatial reasoning, the ability to understand and interpret the 3D structure of the world, is a critical yet underdeveloped capability in Multimodal Large Language Models (MLLMs). Current ...