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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AliaksandrSiarohin/monkey-net
공식 코드https://github.com/ChuanxinSong/SRRM
공식 코드SRRM: Semantic Region Relation Model for Indoor Scene Recognition
https://github.com/DTaoo/Multimodal-Aerial-Scene-Recognition
공식 코드Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
https://github.com/Doubiiu/DynamiCrafter
공식 코드DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
https://github.com/Francis-Rings/MotionFollower
공식 코드MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion
https://github.com/Francis-Rings/StableAnimator
공식 코드StableAnimator: High-Quality Identity-Preserving Human Image Animation
https://github.com/FreeformRobotics/BORM
공식 코드BORM: Bayesian Object Relation Model for Indoor Scene Recognition
https://github.com/FreeformRobotics/OTS
공식 코드Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
https://github.com/HSE-asavchenko/mobile-visual-preferences
공식 코드https://github.com/HenrryBryant/Scene-Recognition-in-3D
공식 코드https://github.com/Hua-YS/Multi-Scene-Recognition
공식 코드MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
https://github.com/Hua-YS/Prototype-based-Memory-Network
공식 코드Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks
https://github.com/KwaiVGI/LivePortrait
공식 코드LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
https://github.com/Manu21JC/Dormant
공식 코드Dormant: Defending against Pose-driven Human Image Animation
https://github.com/OFA-Sys/DAFlow
공식 코드https://github.com/ParitoshParmar/HalluciNet
공식 코드HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
https://github.com/RQ-Wu/LAMP
공식 코드LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation
https://github.com/RenYurui/Global-Flow-Local-Attention
공식 코드Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
https://github.com/ShengyuH/Scene-Recognition-in-3D
공식 코드https://github.com/SkyworkAI/SkyReels-A1
공식 코드SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers
https://github.com/ZhengyuZhao/Adi-Red-Scene
공식 코드From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition
https://github.com/acaglayan/CNN_randRNN
공식 코드When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition
https://github.com/ali-vilab/unianimate-dit
공식 코드UniAnimate-DiT: Human Image Animation with Large-Scale Video Diffusion Transformer
https://github.com/alibaba/animate-anything
공식 코드AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance
https://github.com/andreea-glavan/multimodal-audiovisual-scene-recognition
공식 코드InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition
https://github.com/antgroup/echomimic
공식 코드EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions
https://github.com/bhanukaManesha/embarrassingly-simple-classifier-comparison
공식 코드An embarrassingly simple comparison of machine learning algorithms for indoor scene classification
https://github.com/biqiwhu/agos
공식 코드https://github.com/bytedance/x-dyna
공식 코드https://github.com/cvsp-lab/iclr2025_3d-mom
공식 코드Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images
https://github.com/deepmind/dm_nevis
공식 코드NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
https://github.com/devilpg/aaai2024-cpabmm
공식 코드Continuous Piecewise-Affine Based Motion Model for Image Animation
https://github.com/dingyanb/mtvcrafter
공식 코드MTVCrafter: 4D Motion Tokenization for Open-World Human Image Animation
https://github.com/exilefaker/capsnet-experiments
공식 코드https://github.com/facebookresearch/omnivore
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.