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 301–350 of 394 papers

TitleStatusHype
Video Prediction with Appearance and Motion Conditions—0
Video Prediction with Variational Temporal Hierarchies—0
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models—0
SIAM: A Simple Alternating Mixer for Video Prediction—0
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge—0
Whole-Body Conditioned Egocentric Video Prediction—0
Wide and Narrow: Video Prediction from Context and Motion—0
Wildfire Forecasting with Satellite Images and Deep Generative Model—0
Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training—0
10,000 km Straight-line Transmission using a Real-time Software-defined GPU-Based Receiver—0
Flow-Grounded Spatial-Temporal Video Prediction from Still ImagesCode0
Understanding the Perceived Quality of Video PredictionsCode0
Stochastic Adversarial Video PredictionCode0
Fast Fourier Inception Networks for Occluded Video PredictionCode0
Exploring Temporal Information for Improved Video UnderstandingCode0
Stochastic Video Generation with a Learned PriorCode0
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution ShiftsCode0
Expert Gate: Lifelong Learning with a Network of ExpertsCode0
VarNet: Exploring Variations for Unsupervised Video PredictionCode0
Event-driven Video Frame SynthesisCode0
Entity Abstraction in Visual Model-Based Reinforcement LearningCode0
Physics-Informed Deep Neural Networks for Transient Electromagnetic AnalysisCode0
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from VideoCode0
Predcnn: Predictive learning with cascade convolutionsCode0
Pair-wise Layer Attention with Spatial Masking for Video PredictionCode0
Predicting Deeper into the Future of Semantic SegmentationCode0
Predicting Future Frames Using Retrospective Cycle GANCode0
Predicting Future Instance Segmentation by Forecasting Convolutional FeaturesCode0
Eidetic 3D LSTM: A Model for Video Prediction and BeyondCode0
Adversarial Video Generation on Complex DatasetsCode0
Dynamic Filter NetworksCode0
Order Matters: Shuffling Sequence Generation for Video PredictionCode0
T3VIP: Transformation-based 3D Video PredictionCode0
Prediction Under Uncertainty with Error-Encoding NetworksCode0
Compositional Video PredictionCode0
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video PredictionCode0
ODE^2VAE: Deep generative second order ODEs with Bayesian neural networksCode0
Object-centric Video Prediction without AnnotationCode0
PredNet and Predictive Coding: A Critical ReviewCode0
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMsCode0
Neural Multigrid Memory For Computational Fluid DynamicsCode0
A Dataset To Evaluate The Representations Learned By Video Prediction ModelsCode0
Disentangling Propagation and Generation for Video PredictionCode0
CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive LearningCode0
Programmatic Video Prediction Using Large Language ModelsCode0
Deep Visual Foresight for Planning Robot MotionCode0
Conditional COT-GAN for Video Prediction with Kernel SmoothingCode0
Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane ImagesCode0
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting CloudsCode0
The Pose Knows: Video Forecasting by Generating Pose FuturesCode0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Struct-VRNN (from Grid-keypoints)FVD395—Unverified
2SV2P time-invariant (from Grid-keypoints)FVD253.5—Unverified
3SV2P time-invariant (from Grid-keypoints)FVD209.5—Unverified
4SAVP (from Grid-keypoints)FVD183.7—Unverified
5SVG-LP (from Grid-keypoints)FVD157.9—Unverified
6SAVP-VAE (from Grid-keypoints)FVD145.7—Unverified
7Grid-keypointsFVD144.2—Unverified
8SVG-LP (from SRVP)Cond10—Unverified
9SLAMPCond10—Unverified
10SAVP (from SRVP)Cond10—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvLSTMMSE103.3—Unverified
2PredRNNMSE56.8—Unverified
3MIMMSE52—Unverified
4PredRNN-V2MSE48.4—Unverified
5Causal LSTMMSE46.5—Unverified
6MIM*MSE44.2—Unverified
7SA-ConvLSTMMSE43.9—Unverified
8LMCMSE41.5—Unverified
9E3D-LSTMMSE41.3—Unverified
10CrevNet+ConvLSTMMSE38.5—Unverified
#ModelMetricClaimedVerifiedStatus
1LVTFVD224.73—Unverified
2OmniTokenizer-ARFVD32.9—Unverified
3RaMViDFVD16.46—Unverified
4RIN (400 steps)FVD11.5—Unverified
5RIN (1000 steps)FVD10.8—Unverified
6LARPFVD5.1—Unverified
7DVD-GAN-FPCond5—Unverified
8MAGVIT (-L-FP)Cond5—Unverified
9MAGVIT (-B-FP)Cond5—Unverified
10TriVD-GAN-FPCond5—Unverified
#ModelMetricClaimedVerifiedStatus
1IAM4VPSSIM0.94—Unverified
2SwinLSTMSSIM0.91—Unverified
3FFINetSSIM0.91—Unverified
4SimVPSSIM0.9—Unverified
5PhyDNetSSIM0.9—Unverified
6E3D-LSTMSSIM0.87—Unverified
7MIMSSIM0.79—Unverified
8PredRNNSSIM0.78—Unverified
9FRNNSSIM0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1SVG (from Hier-VRNN)FVD1,300.26—Unverified
2Hier-VRNNFVD567.51—Unverified
3SLAMPCond.10—Unverified
4SRVPCond.10—Unverified
5GHVAEsCond.2—Unverified
#ModelMetricClaimedVerifiedStatus
1SVG-DetLPIPS0.07—Unverified
2SVG-LPLPIPS0.07—Unverified
3PhyDNetLPIPS0.05—Unverified
4PredRNN++LPIPS0.05—Unverified
5MSPredLPIPS0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1DVGFVD120.03—Unverified
2DVD-GAN-FPFVD109.8—Unverified
3PhenakiFVD97—Unverified
4MMVGFVD85.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ODE2VAETest Error10.06—Unverified
2ODE2VAE-KLTest Error8.09—Unverified
3Latent ODETest Error5.98—Unverified
4Latent SDETest Error4.03—Unverified
#ModelMetricClaimedVerifiedStatus
1DVFLPIPS0.17—Unverified
2FVSLPIPS0.09—Unverified
3DMVFNLPIPS0.06—Unverified
#ModelMetricClaimedVerifiedStatus
1DVFLPIPS0.32—Unverified
2FVSLPIPS0.18—Unverified
3DMVFNLPIPS0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1DVFLPIPS0.08—Unverified
2DMVFNLPIPS0.04—Unverified
3OPTLPIPS0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1ODE2VAETest Error93.07—Unverified
2ODE2VAE-KLTest Error15.99—Unverified
#ModelMetricClaimedVerifiedStatus
1DVFLPIPS0.23—Unverified
2DMVFNLPIPS0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MGP-VAE (with geodesic loss)MSE4.5—Unverified
#ModelMetricClaimedVerifiedStatus
1SRVPFVD222—Unverified
#ModelMetricClaimedVerifiedStatus
1MCnet [villegas2017mcnet]LPIPS0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MGP-VAE (with geodesic loss)MSE61.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SDCNetAverage PSNR37.15—Unverified