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🔬 ML PAPERS Дайджест (Image,video,text - arXiv, Feb 13 2026)

🔥 MonarchRT — Efficient attention for real-time video generation via Monarch matrix factorization. Makes autoregressive video DiT viable.
→ arxiv.org/abs/2602.12271

🔥 DreamID-Omni — Unified human-centric audio-video gen. Multi-person identity + voice disentanglement in one framework.
→ arxiv.org/abs/2602.12160

UniT — Unified multimodal CoT with test-time scaling
→ arxiv.org/abs/2602.12279

UniDFlow — Discrete flow matching for multimodal understanding + generation + editing
→ arxiv.org/abs/2602.12221

DeepGen 1.0 — Lightweight unified model for image gen & editing
→ arxiv.org/abs/2602.12205

FAIL — Adversarial imitation learning for flow matching post-training (no reward model needed)
→ arxiv.org/abs/2602.12155

GigaBrain-0.5M — VLA from world model RL (robotics)
→ arxiv.org/abs/2602.12099
arXiv.org MonarchRT: Efficient Attention for Real-Time Video Generation Real-time video generation with Diffusion Transformers is bottlenecked by the quadratic cost of 3D self-attention, especially in real-time regimes that are both few-step and autoregressive, where...
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