2 papers
cs.LG2026
Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
Julien Lalanne, David Picard, Lionel Boillot +3
Generative modeling provides a powerful framework for learning data distributions. These models initially relied on probabilistic methods such as Gaussian Processes (GP) for uncert…
cs.CV2025
Semantic Frame Aggregation-based Transformer for Live Video Comment Generation
Anam Fatima, Yi Yu, Janak Kapuriya +2
Live commenting on video streams has surged in popularity on platforms like Twitch, enhancing viewer engagement through dynamic interactions. However, automatically generating cont…