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 201250 of 394 papers

TitleStatusHype
Image-to-Video Generation via 3D Facial Dynamics0
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning0
Key-point Guided Deformable Image Manipulation Using Diffusion Model0
LagNetViP: A Lagrangian Neural Network for Video Prediction0
Learning 3D Particle-based Simulators from RGB-D Videos0
Learning from Streaming Video with Orthogonal Gradients0
Learning Semantic-Aware Dynamics for Video Prediction0
Learning to Identify Physical Parameters from Video Using Differentiable Physics0
Learning what you can do before doing anything0
Lightweight Stochastic Video Prediction via Hybrid Warping0
Long History Short-Term Memory for Long-Term Video Prediction0
Long-horizon video prediction using a dynamic latent hierarchy0
Long-Term Human Video Generation of Multiple Futures Using Poses0
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction0
Masked Generative Priors Improve World Models Sequence Modelling Capabilities0
MaskViT: Masked Visual Pre-Training for Video Prediction0
MAUCell: An Adaptive Multi-Attention Framework for Video Frame Prediction0
MinD: Unified Visual Imagination and Control via Hierarchical World Models0
Model Based Reinforcement Learning for Atari0
Motion and Context-Aware Audio-Visual Conditioned Video Prediction0
Motion Prediction Under Multimodality with Conditional Stochastic Networks0
Motion Selective Prediction for Video Frame Synthesis0
MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video Prediction Domain0
Mutual Suppression Network for Video Prediction using Disentangled Features0
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video0
Multi-Task Video Captioning with Video and Entailment Generation0
Novel Video Prediction for Large-scale Scene using Optical Flow0
Novel View Video Prediction Using a Dual Representation0
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases0
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION0
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video0
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction0
On the Benefits of Instance Decomposition in Video Prediction Models0
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering0
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames0
Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting of Loop Current0
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties0
Predicting Long-horizon Futures by Conditioning on Geometry and Time0
Predicting Real-Time Locational Marginal Prices: A GAN-Based Video Prediction Approach0
Simplifying Latent Dynamics with Softly State-Invariant World Models0
Prediction-assistant Frame Super-Resolution for Video Streaming0
Prediction Under Uncertainty with Error Encoding Networks0
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs0
Pre-trained Visual Dynamics Representations for Efficient Policy Learning0
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes0
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence0
Prospective Messaging: Learning in Networks with Communication Delays0
Efficient Video Prediction via Sparsely Conditioned Flow Matching0
Real-time Video Prediction With Fast Video Interpolation Model and Prediction Training0
Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation0
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