Author

Fei-Fei Li

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Preprint Oct 2026

Text-to-Image Generative Modeling Without Language Pretraining

Modern text-to-image (T2I) systems use internet-scale language pretraining for text-conditioned image generation. We ask whether language pretraining is necessary for strong T2I generation. We introduce Halcyon, a family of early-fusion multimodal autoregressive models pretrained entirely from scratch on GPIC, a datase...

Keshigeyan Chandrasegaran, Yue Zhao, Armin W. Thomas et al. · 0 citations

#machine learning Preprint Oct 2026

A Language-Informed Loss for Visual Generation

End-to-end visual generation with pixel-space loss has recently achieved competitive performance without the need for learned image tokenizers. In this work, we study whether language-informed supervision can provide a richer training signal than pixel loss for visual generation. We introduce LILIE (pronounced"lily"),...

Suchir Agarwal, Keshigeyan Chandrasegaran, Zi-Yu Chen et al. · 0 citations

#artificial intelligence Preprint Oct 2026

LoGo: Local-Global Rewards for Consistent Long-Horizon Video Generation

Camera-controlled video models are rapidly advancing toward long generation horizons and complex camera control. A key failure mode is 3D inconsistency: as the camera moves, objects lose permanence and scene structures shift. Existing post-training techniques, which assign a single scalar reward to the entire generatio...

Ziqi Ma, Shreya Sharma, Mohamed El Banani et al. · 0 citations