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Animation

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

https://github.com/tooploox/plugin-networks

공식 코드

Plugin Networks for Inference under Partial Evidence

https://github.com/turingmotors/nuscenes-mqa

공식 코드

NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations

https://github.com/usc-sail/mica-MovieCLIP

공식 코드

MovieCLIP: Visual Scene Recognition in Movies

https://github.com/vitae-transformer/rsp

공식 코드

An Empirical Study of Remote Sensing Pretraining

https://github.com/vitae-transformer/vitae-transformer-remote-sensing

공식 코드

An Empirical Study of Remote Sensing Pretraining

https://github.com/vivoCameraResearch/Hyper-Motion

공식 코드

HyperMotion: DiT-Based Pose-Guided Human Image Animation of Complex Motions

https://github.com/vpulab/Semantic-Aware-Scene-Recognition

공식 코드

Semantic-Aware Scene Recognition

https://github.com/vvictoryuki/animatezero

공식 코드

AnimateZero: Video Diffusion Models are Zero-Shot Image Animators

https://github.com/wang-chen/interestingness

공식 코드

Visual Memorability for Robotic Interestingness via Unsupervised Online Learning

https://github.com/wanglimin/MRCNN-Scene-Recognition

공식 코드

Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs

https://github.com/wanglimin/Places205-VGGNet

공식 코드

Places205-VGGNet Models for Scene Recognition

https://github.com/wangzheallen/vsad

공식 코드

Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition

https://github.com/wbhu/BPNet

공식 코드

Bidirectional Projection Network for Cross Dimension Scene Understanding

https://github.com/winfredy/sadtalker

공식 코드

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

https://github.com/xupine/DFPENet

공식 코드

DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides

https://github.com/yeyimilk/deep-learning-for-manatee-counting

공식 코드

Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel

https://github.com/yjxiong/caffe

공식 코드

Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs

https://github.com/yoyo-nb/thin-plate-spline-motion-model

공식 코드

Thin-Plate Spline Motion Model for Image Animation

https://github.com/zhenzhiwang/humanvid

공식 코드

HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

https://github.com/zn-qiao/deep-narrow-network

공식 코드

Designing Deep Networks for Scene Recognition

https://bitbucket.org/tsungyu/bcnn

Bilinear CNNs for Fine-grained Visual Recognition

https://github.com/Aniket7/Transfer-Learning

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

https://github.com/Bazingaliu/learning_CSRNet

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/BiQiWHU/Attention-based-Multi-instance-CNN

https://github.com/BiQiWHU/LSENet

https://github.com/CommissarMa/CSRNet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/DeepSceneSeg/SSMA

Self-Supervised Model Adaptation for Multimodal Semantic Segmentation

https://github.com/DiaoXY/CSRnet

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/Harrypotterrrr/DVD-GAN

Adversarial Video Generation on Complex Datasets

https://github.com/JepsonWong/CNN_Visualization

Object Detectors Emerge in Deep Scene CNNs

https://github.com/Kadenze/siamese_net

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

https://github.com/MS-Mind/MS-Code-02/tree/main/configs/vgg

Places205-VGGNet Models for Scene Recognition

https://github.com/Neerajj9/CSRNet-keras

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/OpenTalker/SadTalker

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

https://github.com/ParitoshParmar/HalluciNet--PyTorch

HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN

https://github.com/RTalha/CROWD-COUNTING-USING-CSRNET

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

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