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 251300 of 394 papers

TitleStatusHype
Understanding the Perceived Quality of Video PredictionsCode0
PreCNet: Next-Frame Video Prediction Based on Predictive CodingCode1
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices0
Motion Segmentation using Frequency Domain Transformer NetworksCode1
A Review on Deep Learning Techniques for Video Prediction0
Self-Attention ConvLSTM for Spatiotemporal PredictionCode1
Future Video Synthesis with Object Motion PredictionCode1
Predicting Real-Time Locational Marginal Prices: A GAN-Based Video Prediction Approach0
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric ManipulationCode0
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames0
Transformation-based Adversarial Video Prediction on Large-Scale Data0
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video PredictionCode1
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video PredictionCode1
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning0
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
Stochastic Latent Residual Video PredictionCode1
ARMA Nets: Expanding Receptive Field for Dense PredictionCode0
Deep Variational Luenberger-type Observer for Stochastic Video Prediction0
Unsupervised Disentanglement of Pose, Appearance and Background from Images and VideosCode1
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational AutoencodersCode1
Scalable Gradients for Stochastic Differential EquationsCode2
Unsupervised Learning of Automotive 3D Crash Simulations using LSTMs0
Experience-Embedded Visual Foresight0
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks0
Entity Abstraction in Visual Model-Based Reinforcement LearningCode0
CrevNet: Conditionally Reversible Video Prediction0
Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video PredictionCode0
RoboNet: Large-Scale Multi-Robot Learning0
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction0
Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video SynthesisCode1
Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative StudyCode0
Unsupervised Keypoint Learning for Guiding Class-Conditional Video PredictionCode0
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement LearningCode0
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video0
CoPhy: Counterfactual Learning of Physical DynamicsCode0
Long History Short-Term Memory for Long-Term Video Prediction0
Goal-Conditioned Video Prediction0
Convolutional Tensor-Train LSTM for Long-Term Video Prediction0
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
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