SOTAVerified

Video Prediction

Script for Amee Marketing & Trading Company Short Video
(Duration: 45-60 seconds)


Opening Scene (0:00-0:05):

  • Visual: Close-up of fresh organic grains spilling gently into a wooden bowl. Sunlight filters through lush green fields.
  • Text Overlay: "Nourishing Lives, Naturally."
  • Music: Uplifting acoustic melody with a traditional touch.

Scene 1: Organic & Natural Offerings (0:05-0:15):

  • Visual: Rapid montage of vibrant vegetables, ripe fruits, aromatic spices, Ayurvedic herbs, and fresh dairy products.
  • Voiceover: "At Amee Marketing & Trading, we bring you the purest Vedic organic foods—grains, spices, herbs, and dairy—straight from nature’s bounty."

Scene 2: Engineering & Innovation (0:15-0:25):

  • Visual: Split-screen transition:
    • Left: Engineers working on agriculture machinery and water treatment systems.
    • Right: Automation controls, aquaculture systems, and textile equipment in action.
  • Voiceover: "Pioneering sustainable solutions—agriculture engineering, water and wastewater treatment, automation, and industrial innovations."

Scene 3: Waste & Resource Management (0:25-0:35):

  • Visual: Waste management systems transforming waste into resources, followed by Roadtech equipment paving roads.
  • Text Overlay: "Building a greener future."
  • Voiceover: "From waste management to infrastructure, we engineer tomorrow’s world today."

Scene 4: Services & Global Reach (0:35-0:45):

  • Visual: Factory assembly line, team meeting, and global map with location pins.
  • Voiceover: "As manufacturers, traders, and suppliers, we bridge quality and trust worldwide."

Closing Scene (0:45-0:55):

  • Visual: Amee logo fades in over a backdrop of their factory. Contact details appear.
  • Text Overlay: "Connect with Us!"
    • Phone: +91-8300874712
    • Website: www.ameemarketingtredingcompany.in
    • Location: Home & Factory (add brief map graphic).
  • Voiceover: "Your partner in purity and progress. Contact Amee today!"

End Frame (0:55-1:00):

  • Visual: Sunrise over fields with the tagline: "Amee Marketing & Trading – Where Tradition Meets Technology."

Production Notes:

  • Music: Blend traditional Indian instruments with modern beats for cross-sector appeal.
  • Color Palette: Earthy tones (greens, browns) for organic segments; metallic blues/greys for tech sections.
  • Pacing: Quick cuts for energy, but hold 2-3 seconds on contact details.

Perfect for social media ads or website headers! 🌱🚀

Gif credit: MAGVIT

Source: Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames

Papers

Showing 101150 of 394 papers

TitleStatusHype
Continual Predictive Learning from VideosCode1
Deep learning for satellite image forecasting of vegetation greennessCode1
Self-Supervised Visual Planning with Temporal Skip ConnectionsCode1
Predicting Video with VQVAECode1
Implicit Stacked Autoregressive Model for Video PredictionCode1
3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video RetrievalCode1
Action Conditioned Tactile Prediction: case study on slip predictionCode1
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive LearningCode1
Convolutional LSTM Network: A Machine Learning Approach for Precipitation NowcastingCode1
Predictive Experience Replay for Continual Visual Control and ForecastingCode1
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMsCode1
DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent ParticlesCode1
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
Seer: Language Instructed Video Prediction with Latent Diffusion ModelsCode1
Self-Attention ConvLSTM for Spatiotemporal PredictionCode1
SLAMP: Stochastic Latent Appearance and Motion PredictionCode1
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting ApproachCode1
Reinforcement Learning with Action-Free Pre-Training from VideosCode1
Stochastic Latent Residual Video PredictionCode1
Video Prediction Recalling Long-term Motion Context via Memory Alignment LearningCode1
Advection Augmented Convolutional Neural NetworksCode1
Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video PredictionCode0
Autoregression-free video prediction using diffusion model for mitigating error propagationCode0
Folded Recurrent Neural Networks for Future Video PredictionCode0
SDC-Net: Video prediction using spatially-displaced convolutionCode0
Flow-Grounded Spatial-Temporal Video Prediction from Still ImagesCode0
Scalable Adaptive Computation for Iterative GenerationCode0
A Temporally-Aware Interpolation Network for Video Frame InpaintingCode0
ARMA Nets: Expanding Receptive Field for Dense PredictionCode0
CoPhy: Counterfactual Learning of Physical DynamicsCode0
Fast Fourier Inception Networks for Occluded Video PredictionCode0
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal PredictionCode0
A Dataset To Evaluate The Representations Learned By Video Prediction ModelsCode0
Programmatic Video Prediction Using Large Language ModelsCode0
Exploring Temporal Information for Improved Video UnderstandingCode0
Conditional COT-GAN for Video Prediction with Kernel SmoothingCode0
Expert Gate: Lifelong Learning with a Network of ExpertsCode0
Event-driven Video Frame SynthesisCode0
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video PredictionCode0
Entity Abstraction in Visual Model-Based Reinforcement LearningCode0
Predicting Future Instance Segmentation by Forecasting Convolutional FeaturesCode0
Prediction Under Uncertainty with Error-Encoding NetworksCode0
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMsCode0
Eidetic 3D LSTM: A Model for Video Prediction and BeyondCode0
Understanding the Perceived Quality of Video PredictionsCode0
Adversarial Video Generation on Complex DatasetsCode0
Predcnn: Predictive learning with cascade convolutionsCode0
Predicting Deeper into the Future of Semantic SegmentationCode0
Physics-Informed Deep Neural Networks for Transient Electromagnetic AnalysisCode0
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from VideoCode0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Struct-VRNN (from Grid-keypoints)FVD395Unverified
2SV2P time-invariant (from Grid-keypoints)FVD253.5Unverified
3SV2P time-invariant (from Grid-keypoints)FVD209.5Unverified
4SAVP (from Grid-keypoints)FVD183.7Unverified
5SVG-LP (from Grid-keypoints)FVD157.9Unverified
6SAVP-VAE (from Grid-keypoints)FVD145.7Unverified
7Grid-keypointsFVD144.2Unverified
8SVG-LP (from SRVP)Cond10Unverified
9SLAMPCond10Unverified
10SAVP (from SRVP)Cond10Unverified
#ModelMetricClaimedVerifiedStatus
1ConvLSTMMSE103.3Unverified
2PredRNNMSE56.8Unverified
3MIMMSE52Unverified
4PredRNN-V2MSE48.4Unverified
5Causal LSTMMSE46.5Unverified
6MIM*MSE44.2Unverified
7SA-ConvLSTMMSE43.9Unverified
8LMCMSE41.5Unverified
9E3D-LSTMMSE41.3Unverified
10CrevNet+ConvLSTMMSE38.5Unverified
#ModelMetricClaimedVerifiedStatus
1LVTFVD224.73Unverified
2OmniTokenizer-ARFVD32.9Unverified
3RaMViDFVD16.46Unverified
4RIN (400 steps)FVD11.5Unverified
5RIN (1000 steps)FVD10.8Unverified
6LARPFVD5.1Unverified
7DVD-GAN-FPCond5Unverified
8MAGVIT (-L-FP)Cond5Unverified
9MAGVIT (-B-FP)Cond5Unverified
10TriVD-GAN-FPCond5Unverified
#ModelMetricClaimedVerifiedStatus
1IAM4VPSSIM0.94Unverified
2SwinLSTMSSIM0.91Unverified
3FFINetSSIM0.91Unverified
4SimVPSSIM0.9Unverified
5PhyDNetSSIM0.9Unverified
6E3D-LSTMSSIM0.87Unverified
7MIMSSIM0.79Unverified
8PredRNNSSIM0.78Unverified
9FRNNSSIM0.77Unverified
#ModelMetricClaimedVerifiedStatus
1SVG (from Hier-VRNN)FVD1,300.26Unverified
2Hier-VRNNFVD567.51Unverified
3SLAMPCond.10Unverified
4SRVPCond.10Unverified
5GHVAEsCond.2Unverified
#ModelMetricClaimedVerifiedStatus
1SVG-DetLPIPS0.07Unverified
2SVG-LPLPIPS0.07Unverified
3PhyDNetLPIPS0.05Unverified
4PredRNN++LPIPS0.05Unverified
5MSPredLPIPS0.03Unverified
#ModelMetricClaimedVerifiedStatus
1DVGFVD120.03Unverified
2DVD-GAN-FPFVD109.8Unverified
3PhenakiFVD97Unverified
4MMVGFVD85.2Unverified
#ModelMetricClaimedVerifiedStatus
1ODE2VAETest Error10.06Unverified
2ODE2VAE-KLTest Error8.09Unverified
3Latent ODETest Error5.98Unverified
4Latent SDETest Error4.03Unverified
#ModelMetricClaimedVerifiedStatus
1DVFLPIPS0.17Unverified
2FVSLPIPS0.09Unverified
3DMVFNLPIPS0.06Unverified
#ModelMetricClaimedVerifiedStatus
1DVFLPIPS0.32Unverified
2FVSLPIPS0.18Unverified
3DMVFNLPIPS0.11Unverified
#ModelMetricClaimedVerifiedStatus
1DVFLPIPS0.08Unverified
2DMVFNLPIPS0.04Unverified
3OPTLPIPS0.04Unverified
#ModelMetricClaimedVerifiedStatus
1ODE2VAETest Error93.07Unverified
2ODE2VAE-KLTest Error15.99Unverified
#ModelMetricClaimedVerifiedStatus
1DVFLPIPS0.23Unverified
2DMVFNLPIPS0.1Unverified
#ModelMetricClaimedVerifiedStatus
1MGP-VAE (with geodesic loss)MSE4.5Unverified
#ModelMetricClaimedVerifiedStatus
1SRVPFVD222Unverified
#ModelMetricClaimedVerifiedStatus
1MCnet [villegas2017mcnet]LPIPS0.22Unverified
#ModelMetricClaimedVerifiedStatus
1MGP-VAE (with geodesic loss)MSE61.6Unverified
#ModelMetricClaimedVerifiedStatus
1SDCNetAverage PSNR37.15Unverified