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
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
Whole-Body Conditioned Egocentric Video Prediction0
MinD: Unified Visual Imagination and Control via Hierarchical World Models0
AMPLIFY: Actionless Motion Priors for Robot Learning from Videos0
Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction0
Autoregression-free video prediction using diffusion model for mitigating error propagationCode0
Consistent World Models via Foresight Diffusion0
Programmatic Video Prediction Using Large Language ModelsCode0
Video-GPT via Next Clip DiffusionCode1
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation0
EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos0
SRVP: Strong Recollection Video Prediction Model Using Attention-Based Spatiotemporal Correlation FusionCode0
Learning from Streaming Video with Orthogonal Gradients0
Real-time Video Prediction With Fast Video Interpolation Model and Prediction Training0
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better0
SyncVP: Joint Diffusion for Synchronous Multi-Modal Video PredictionCode1
Aether: Geometric-Aware Unified World Modeling0
Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video PredictionCode0
GMG: A Video Prediction Method Based on Global Focus and Motion GuidedCode1
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning0
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion ModelsCode1
Unified Video Action Model0
Intuitive physics understanding emerges from self-supervised pretraining on natural videosCode3
MaskGWM: A Generalizable Driving World Model with Video Mask ReconstructionCode3
Skillful Nowcasting of Convective Clouds With a Cascade Diffusion Model0
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and PlanningCode1
MAUCell: An Adaptive Multi-Attention Framework for Video Frame Prediction0
Taming Teacher Forcing for Masked Autoregressive Video Generation0
On the Benefits of Instance Decomposition in Video Prediction Models0
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual RepresentationsCode3
STIV: Scalable Text and Image Conditioned Video Generation0
Efficient Continuous Video Flow Model for Video Prediction0
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction0
Lightweight Stochastic Video Prediction via Hybrid Warping0
Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction0
Pre-trained Visual Dynamics Representations for Efficient Policy Learning0
Video prediction using score-based conditional density estimation0
Motion Graph Unleashed: A Novel Approach to Video PredictionCode0
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images0
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion0
Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling0
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases0
EVA: An Embodied World Model for Future Video Anticipation0
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery0
Masked Generative Priors Improve World Models Sequence Modelling Capabilities0
Video Prediction Transformers without Recurrence or ConvolutionCode2
CausalVE: Face Video Privacy Encryption via Causal Video Prediction0
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation0
Prospective Messaging: Learning in Networks with Communication Delays0
Advection Augmented Convolutional Neural NetworksCode1
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