2 papers
cs.CV2026
RepFlow: Reciprocal Supervision Improves Generation and Representation in Flow Models
Weili Zeng, Feng Tian, Shengqi Liu +1
Generative models learn visual structure through denoising, yet their internal states are entangled with both noise level and network depth, making it difficult to obtain a stable…
cs.RO2026
Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control
Weili Zeng, Yitong Xing, Fulong Liu +10
World generative models are typically used through what they produce: a rendered future, a video-conditioned action, or latent context computed by a costly generative branch. We ar…