A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Jieke Shi, Junda He, Wenjia Jiang, et al.
Brevis formulates lossless tensor compression as program synthesis, using a typed DSL and A* search to produce compact, bit-exact reconstruction programs for model checkpoints.
Gabriel Eilertsen, Joel Kronander, György Dénes, et al.
This paper proposes a deep CNN specifically designed to predict lost information in saturated image areas, enabling HDR reconstruction from a single exposure.
Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
Generative models accelerate high-dimensional system simulations by learning effective dynamics on a lower-dimensional manifold and using diffusion models for reconstruction.
Anil K. Jain
A comprehensive textbook covering fundamental digital image processing techniques including transforms, enhancement, restoration, analysis, compression, and reconstruction.
Luzhe Huang, Hanlong Chen, Tairan Liu, et al.
GedankenNet eliminates the need for labeled or experimental training data in hologram reconstruction by using a physics-consistency loss and synthetic random images.
Zehao Yu, Torsten Sattler, Andreas Geiger
Gaussian Opacity Fields enable efficient, high-quality surface reconstruction from 3D Gaussians without Poisson reconstruction or TSDF fusion.
Hiskias Dingeto
Proposes RECAP to make activation explanations verifiable by decodability supervision, showing high reconstruction does not certify individual claims.
Tong Wu, Yu-Jie Yuan, Lingxiao Zhang, et al.
A comprehensive survey of 3D Gaussian splatting methods, covering 3D reconstruction, editing, and downstream applications.