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
Video Prediction by Efficient TransformersCode1
Deep learning for satellite image forecasting of vegetation greennessCode1
Video Prediction via Example GuidanceCode1
Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video SynthesisCode1
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying MotionsCode1
Motion Segmentation using Frequency Domain Transformer NetworksCode1
3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video RetrievalCode1
Convolutional LSTM Network: A Machine Learning Approach for Precipitation NowcastingCode1
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMsCode1
Implicit Stacked Autoregressive Model for Video PredictionCode1
A Control-Centric Benchmark for Video PredictionCode1
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent ParticlesCode1
MAU: A Motion-Aware Unit for Video Prediction and BeyondCode1
MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video PredictionCode1
Multi-view Action Recognition using Cross-view Video PredictionCode1
GATSBI: Generative Agent-centric Spatio-temporal Object InteractionCode1
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive LearningCode1
Unsupervised Image Representation Learning with Deep Latent ParticlesCode1
Advection Augmented Convolutional Neural NetworksCode1
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery0
Fourier-based Video Prediction through Relational Object Motion0
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction0
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation0
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices0
Flexible Spatio-Temporal Networks for Video Prediction0
Long-Term Human Video Generation of Multiple Futures Using Poses0
FitVid: High-Capacity Pixel-Level Video Prediction0
Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns0
CrevNet: Conditionally Reversible Video Prediction0
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space0
A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches0
Cubic LSTMs for Video Prediction0
Long History Short-Term Memory for Long-Term Video Prediction0
Face Translation between Images and Videos using Identity-aware CycleGAN0
ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction0
Convolutional Tensor-Train LSTM for Long-Term Video Prediction0
Long-horizon video prediction using a dynamic latent hierarchy0
Masked Generative Priors Improve World Models Sequence Modelling Capabilities0
Experience-Embedded Visual Foresight0
EVA: An Embodied World Model for Future Video Anticipation0
Controllable Video Generation With Sparse Trajectories0
Learning to Identify Physical Parameters from Video Using Differentiable Physics0
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction0
Enhancing Traffic Scene Predictions with Generative Adversarial Networks0
Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks0
A Review on Deep Learning Techniques for Video Prediction0
Learning what you can do before doing anything0
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation0
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