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
Reduced-Gate Convolutional LSTM Design Using Predictive Coding for Next-Frame Video Prediction0
Revisiting Adaptive Convolutions for Video Frame Interpolation0
RoboNet: Large-Scale Multi-Robot Learning0
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner0
Rolling Diffusion Models0
S2RMs: Spatially Structured Recurrent Modules0
See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction0
Self-Supervised Learning of Object Motion Through Adversarial Video Prediction0
Self-Supervision by Prediction for Object Discovery in Videos0
S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction0
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion0
Skillful Nowcasting of Convective Clouds With a Cascade Diffusion Model0
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models0
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving0
Space Time Recurrent Memory Network0
Spatially Structured Recurrent Modules0
Spatially Structured Recurrent Modules0
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend0
STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond0
STIV: Scalable Text and Image Conditioned Video Generation0
Stochastic Video Prediction with Structure and Motion0
Structure Preserving Video Prediction0
TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes0
Taming Teacher Forcing for Masked Autoregressive Video Generation0
Taylor saves for later: disentanglement for video prediction using Taylor representation0
Text-driven Video Prediction0
Time Dependence in Non-Autonomous Neural ODEs0
TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction0
Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction0
Towards an Interpretable Latent Space in Structured Models for Video Prediction0
Towards Non-Parametric Models for Confidence Aware Video Prediction on Smooth Dynamics0
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better0
Transformation-based Adversarial Video Prediction on Large-Scale Data0
Unified Video Action Model0
Unsupervised Hierarchical Video Prediction0
Unsupervised Learning of Automotive 3D Crash Simulations using LSTMs0
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure0
VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild0
Variational Inference for SDEs Driven by Fractional Noise0
Video Captioning with Boundary-aware Hierarchical Language Decoding and Joint Video Prediction0
Video Extrapolation in Space and Time0
Video Interpolation and Prediction with Unsupervised Landmarks0
Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes0
Precipitation Nowcasting with Star-Bridge Networks0
Video Prediction Models as General Visual Encoders0
Video prediction using score-based conditional density estimation0
Video Prediction with Appearance and Motion Conditions0
Video Prediction with Variational Temporal Hierarchies0
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models0
SIAM: A Simple Alternating Mixer for Video Prediction0
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