https://github.com/kevin-thu/epona
공식 코드Epona: Autoregressive Diffusion World Model for Autonomous Driving
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Script for Amee Marketing & Trading Company Short Video
(Duration: 45-60 seconds)
Opening Scene (0:00-0:05):
Scene 1: Organic & Natural Offerings (0:05-0:15):
Scene 2: Engineering & Innovation (0:15-0:25):
Scene 3: Waste & Resource Management (0:25-0:35):
Scene 4: Services & Global Reach (0:35-0:45):
Closing Scene (0:45-0:55):
End Frame (0:55-1:00):
Production Notes:
Perfect for social media ads or website headers! 🌱🚀
Gif credit: MAGVIT
Source: Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Epona: Autoregressive Diffusion World Model for Autonomous Driving
Autoregression-free video prediction using diffusion model for mitigating error propagation
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video Prediction
Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
Pair-wise Layer Attention with Spatial Masking for Video Prediction
Fast Fourier Inception Networks for Occluded Video Prediction
Folded Recurrent Neural Networks for Future Video Prediction
Conditional COT-GAN for Video Prediction with Kernel Smoothing
MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness
VDT: General-purpose Video Diffusion Transformers via Mask Modeling
A Dataset To Evaluate The Representations Learned By Video Prediction Models
Making a Case for 3D Convolutions for Object Segmentation in Videos
General surgery vision transformer: A video pre-trained foundation model for general surgery
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning
MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction
Future Frame Prediction for Anomaly Detection -- A New Baseline
A Temporally-Aware Interpolation Network for Video Frame Inpainting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.