3 accepted papers
3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF) have advanced novel-view synthesis. Recent methods extend multi-view 2D segmentation to 3D, enabling instance/semantic segmentation for better scene understanding. A key challenge is the inconsistency of 2D instance labels across views,
Neural Radiance Fields (NeRF) approaches learn the underlying 3D representation of a scene and generate photo-realistic novel views with high fidelity. However, most proposed settings concentrate on 3D modelling a single object or a single level of a scene. However, in the real world, a person captu…
Real world images often gets corrupted due to unwanted reflections and their removal is highly desirable. A major share of such images originate from smart phone cameras capable of very high resolution captures. Most of the existing methods either focus on restoration quality by compromising on proc…