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 301350 of 394 papers

TitleStatusHype
Enhancing Traffic Scene Predictions with Generative Adversarial Networks0
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal GenerationCode0
Video Interpolation and Prediction with Unsupervised Landmarks0
Inception-inspired LSTM for Next-frame Video PredictionCode0
Compositional Video PredictionCode0
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big EventsCode0
Order Matters: Shuffling Sequence Generation for Video PredictionCode0
Precipitation Nowcasting with Star-Bridge Networks0
Adversarial Video Generation on Complex DatasetsCode0
Z-Order Recurrent Neural Networks for Video Prediction0
Unsupervised Learning of Object Structure and Dynamics from Videos0
PredNet and Predictive Coding: A Critical ReviewCode0
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis0
Predicting Future Frames Using Retrospective Cycle GANCode0
ODE^2VAE: Deep generative second order ODEs with Bayesian neural networksCode0
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from VideoCode0
Exploring Temporal Information for Improved Video UnderstandingCode0
Eidetic 3D LSTM: A Model for Video Prediction and BeyondCode0
Consistent Jumpy Predictions for Videos and Scenes0
Improved Conditional VRNNs for Video PredictionCode0
Cubic LSTMs for Video Prediction0
Long-Term Human Video Generation of Multiple Futures Using Poses0
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning0
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation0
Frequency Domain Transformer Networks for Video PredictionCode0
Model-Based Reinforcement Learning for AtariCode0
Event-driven Video Frame SynthesisCode0
Diversity-Sensitive Conditional Generative Adversarial Networks0
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks0
Motion Selective Prediction for Video Frame Synthesis0
Learning to Take Directions One Step at a TimeCode0
Disentangling Propagation and Generation for Video PredictionCode0
Video Prediction via Selective SamplingCode0
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal DynamicsCode0
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy0
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal PredictionCode0
Location Dependency in Video PredictionCode0
FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing GANsCode0
VarNet: Exploring Variations for Unsupervised Video PredictionCode0
Reduced-Gate Convolutional LSTM Design Using Predictive Coding for Next-Frame Video Prediction0
SDC-Net: Video prediction using spatially-displaced convolutionCode0
Video-to-Video SynthesisCode0
Flow-Grounded Spatial-Temporal Video Prediction from Still ImagesCode0
Video Captioning with Boundary-aware Hierarchical Language Decoding and Joint Video Prediction0
Video Prediction with Appearance and Motion Conditions0
Consistent Generative Query Networks0
Predcnn: Predictive learning with cascade convolutionsCode0
Learning what you can do before doing anything0
Hierarchical Long-term Video Prediction without Supervision0
Learning to Decompose and Disentangle Representations for Video PredictionCode0
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
8SAVP (from SRVP)Cond10Unverified
9SRVPCond10Unverified
10SVG-LP (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
7Video TransformerCond5Unverified
8MAGVIT (-L-FP)Cond5Unverified
9DVD-GAN-FPCond5Unverified
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
3PredRNN++LPIPS0.05Unverified
4PhyDNetLPIPS0.05Unverified
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