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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/x-plug/mm_storyagent

공식 코드

MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio

https://github.com/x-plug/youku-mplug

공식 코드

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

https://github.com/xacheng1996/sllm

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Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration

https://github.com/xavier-lin/trackssm

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TrackSSM: A General Motion Predictor by State-Space Model

https://github.com/xbmxb/edit_analysis

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On the Robustness of Editing Large Language Models

https://github.com/xh20/HAGCN

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Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network

https://github.com/xhaughearl/haarmodic

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Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform

https://github.com/xhl-video/SmallBigNet

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SmallBigNet: Integrating Core and Contextual Views for Video Classification

https://github.com/xian-sh/unisdnet

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Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding

https://github.com/xiandaguo/drive-mllm

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DriveMLLM: A Benchmark for Spatial Understanding with Multimodal Large Language Models in Autonomous Driving

https://github.com/xiangjieSui/img2video

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Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos

https://github.com/xianyongqin/few-shot-video-classification

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Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation

https://github.com/xiaobul/omniclip

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OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning

https://github.com/xiaofanustc/ME-Sampler

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Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior

https://github.com/xiaogang00/dp3df

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Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution

https://github.com/xiaogangpeng/hypervd

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Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space

https://github.com/xiaogangpeng/socialtgcn

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The MI-Motion Dataset and Benchmark for 3D Multi-Person Motion Prediction

https://github.com/xiaojiegu/ultraedit

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UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Large Language Models

https://github.com/xiaojuntang22/iccv2023-ddgnet

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DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization

https://github.com/xiaomi-mlab/mila.github.io

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MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

https://github.com/xiaoqi-zhao-dlut/multi-source-aps-zvos

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Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation

https://github.com/xiaoqian-shen/mostgan-v

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MoStGAN-V: Video Generation with Temporal Motion Styles

https://github.com/xiaoyu-1123/prefm

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PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling

https://github.com/xid32/naacl_2025_twm

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Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding

https://github.com/xilin1991/CluterNet

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Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering

https://github.com/xilin1991/IMCNet

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Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation

https://github.com/xincoder/GRIP

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GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving

https://github.com/xinghaochen/squeezetime

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No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding

https://github.com/xingli1012/sequentialpointnet

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Real-time 3D human action recognition based on Hyperpoint sequence

https://github.com/xingyizhou/CenterTrack

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Tracking Objects as Points

https://github.com/xinhaoyi/edit_bio_long_tail

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Can We Edit LLMs for Long-Tail Biomedical Knowledge?

https://github.com/xinjie-q/distributed-dvc

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Low-complexity Deep Video Compression with A Distributed Coding Architecture

https://github.com/xinliyue/vqa-generalization

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Revisiting Video Quality Assessment from the Perspective of Generalization

https://github.com/xinntao/EDVR

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EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

https://github.com/xinntao/ESRGAN

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ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/xinntao/Real-ESRGAN

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Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

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