2 papers
cs.CV2026
GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning
Tianqi Wang, Jingcai Guo
Class-Incremental Learning (CIL) aims to continuously acquire new categories while preserving previously learned knowledge. Recently, Contrastive Language-Image Pre-trained (CLIP)…
cs.CV2025
Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation
Xiaochuan Li, Guoguang Du, Runze Zhang +11
Scaling laws have validated the success and promise of large-data-trained models in creative generation across text, image, and video domains. However, this paradigm faces data sca…