2 papers
cs.LG2026
A Markovian View of Iterative-Feedback Loops in Image Generative Models: Neural Resonance and Model Collapse
Vibhas Kumar Vats, David J. Crandall, Samuel Goree
AI training datasets will inevitably contain AI-generated examples, leading to ``feedback'' in which the output of one model impacts the training of another. It is known that such…
cs.CV2025
Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
Vibhas Vats, Md. Alimoor Reza, David Crandall +1
Traditional multi-view stereo (MVS) methods primarily depend on photometric and geometric consistency constraints. In contrast, modern learning-based algorithms often rely on the p…