LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation Paper • 2603.20192 • Published 3 days ago • 21
Astrolabe: Steering Forward-Process Reinforcement Learning for Distilled Autoregressive Video Models Paper • 2603.17051 • Published 6 days ago • 82
SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing Paper • 2603.19228 • Published 4 days ago • 63
3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model Paper • 2603.18524 • Published 5 days ago • 53
view post Post 3801 Can small models program?Although even if they are reasoning AIs, small AIs cannot create extensive and high-quality code, at least that's what is commonly thought.We present OrionLLM/NanoCoder-0.6b, an AI with just 600 million parameters based on qwen3-0.6b and trained with the dataset nvidia/OpenCodeReasoning.While not good at complex code, we observed a significant improvement in code generation (especially in Python code), demonstrating that, when trained correctly, small AIs can, in fact, program. See translation 2 replies · 🤗 9 9 🚀 1 1 🔥 1 1 + Reply
EffectErase: Joint Video Object Removal and Insertion for High-Quality Effect Erasing Paper • 2603.19224 • Published 4 days ago • 16
LaDe: Unified Multi-Layered Graphic Media Generation and Decomposition Paper • 2603.17965 • Published 5 days ago • 5
LoST: Level of Semantics Tokenization for 3D Shapes Paper • 2603.17995 • Published 5 days ago • 29
ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA Paper • 2603.10256 • Published 13 days ago • 19