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PKU-YuanGroup
[TPAMI 2025🔥] MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
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Encuentra una habilidad para tu próxima tarea con Codex, Claude Code, Cursor y más.
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Archivos entregados aquí desde el 14 de octubre de 2026. Una descarga por cuenta y Skill al día UTC. Excluye sitios externos, comandos copiados e instalaciones. Actualización en hasta 5 minutos.
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[TPAMI 2025🔥] MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
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/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Art…
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The largest UI testing best practices list (last update: March 2025)
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[ECCV 2024 Best Paper Candidate & TPAMI 2025] PointLLM: Empowering Large Language Models to Understand Point Clouds

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[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning
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🔍 Search-o1: Agentic Search-Enhanced Large Reasoning Models [EMNLP 2025]
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MedRAX: Medical Reasoning Agent for Chest X-ray - ICML 2025
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Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]
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[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling
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[ICCV 2025] Official impl. of "MV-Adapter: Multi-view Consistent Image Generation Made Easy"
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RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI proje…
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This repository contains the notes and code snippets of the CKA 2025 YouTube Playlist. The content is based on the latest 2025 curriculum and includes hands-on demos, as…
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Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)
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Official implementation for "RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers" (ICML 2025) , UltraViCo (ICLR 2026) and UltraImage
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GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
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This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR 2025]