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 150 of 394 papers

TitleStatusHype
GenAD: Generalized Predictive Model for Autonomous DrivingCode7
Language Model Beats Diffusion -- Tokenizer is Key to Visual GenerationCode4
OmniTokenizer: A Joint Image-Video Tokenizer for Visual GenerationCode3
MaskGWM: A Generalizable Driving World Model with Video Mask ReconstructionCode3
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual RepresentationsCode3
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
Intuitive physics understanding emerges from self-supervised pretraining on natural videosCode3
A Dynamic Multi-Scale Voxel Flow Network for Video PredictionCode2
iVideoGPT: Interactive VideoGPTs are Scalable World ModelsCode2
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and PredictionCode2
VDT: General-purpose Video Diffusion Transformers via Mask ModelingCode2
MAGVIT: Masked Generative Video TransformerCode2
SDCNet: Video Prediction Using Spatially-Displaced ConvolutionCode2
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPTCode2
Phenaki: Variable Length Video Generation From Open Domain Textual DescriptionCode2
MogaNet: Multi-order Gated Aggregation NetworkCode2
Scalable Gradients for Stochastic Differential EquationsCode2
SimVP: Simpler yet Better Video PredictionCode2
Video Diffusion ModelsCode2
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and InterpolationCode2
Video Prediction Transformers without Recurrence or ConvolutionCode2
Temporally Consistent Transformers for Video GenerationCode2
Advection Augmented Convolutional Neural NetworksCode1
A Control-Centric Benchmark for Video PredictionCode1
Latent Video TransformerCode1
Action Conditioned Tactile Prediction: case study on slip predictionCode1
Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video SynthesisCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
Implicit Stacked Autoregressive Model for Video PredictionCode1
Know Thyself: Transferable Visual Control Policies Through Robot-AwarenessCode1
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction taskCode1
Accurate Grid Keypoint Learning for Efficient Video PredictionCode1
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion ModelsCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over ModulesCode1
GATSBI: Generative Agent-centric Spatio-temporal Object InteractionCode1
Future Frame Prediction for Anomaly Detection -- A New BaselineCode1
Future Frame Prediction for Anomaly Detection – A New BaselineCode1
Comparing Correspondences: Video Prediction with Correspondence-wise LossesCode1
Deep learning for satellite image forecasting of vegetation greennessCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
Diffusion Models for Video Prediction and InfillingCode1
Deep Learning in Latent Space for Video Prediction and CompressionCode1
Compositional Video Synthesis with Action GraphsCode1
Future Video Synthesis with Object Motion PredictionCode1
Deep Predictive Coding Networks for Video Prediction and Unsupervised LearningCode1
FitVid: Overfitting in Pixel-Level Video PredictionCode1
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational AutoencodersCode1
Diverse Video Generation using a Gaussian Process TriggerCode1
Multi-modal learning for geospatial vegetation forecastingCode1
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