OA-WAM uses persistent address vectors and dynamic content vectors in object slots to enable addressable world-action prediction, improving robustness on manipulation benchmarks under scene changes.
Om- nitokenizer: A joint image-video tokenizer for visual generation
5 Pith papers cite this work. Polarity classification is still indexing.
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MergeTok unifies VAE and VQ tokenizers via token merging to impose semantic alignment on continuous latents and stabilize discrete codebook training, achieving lower rFID on ImageNet-256.
FAR baseline plus asymmetric kernels for long short-term context modeling achieves SOTA short and long video generation in autoregressive setups.
A continuous-token model with shared Haar wavelet coefficients reports 39.92 dB audio, 29.37 dB image, and 23.93 dB video PSNR on three datasets and shows energy-based selection outperforms uniform selection by roughly 16 dB.
The Cosmos platform supplies open-source pre-trained world models and supporting tools for building fine-tunable digital world simulations to train Physical AI.
citing papers explorer
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OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation
OA-WAM uses persistent address vectors and dynamic content vectors in object slots to enable addressable world-action prediction, improving robustness on manipulation benchmarks under scene changes.
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MergeTok: Unified Continuous and Discrete Visual Tokenization via Token Merging
MergeTok unifies VAE and VQ tokenizers via token merging to impose semantic alignment on continuous latents and stabilize discrete codebook training, achieving lower rFID on ImageNet-256.
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Long-Context Autoregressive Video Modeling with Next-Frame Prediction
FAR baseline plus asymmetric kernels for long short-term context modeling achieves SOTA short and long video generation in autoregressive setups.
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Wavelet as Tokenizer: Preliminary Results on a Shared Wavelet Token Schema for Natural Signals
A continuous-token model with shared Haar wavelet coefficients reports 39.92 dB audio, 29.37 dB image, and 23.93 dB video PSNR on three datasets and shows energy-based selection outperforms uniform selection by roughly 16 dB.
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Cosmos World Foundation Model Platform for Physical AI
The Cosmos platform supplies open-source pre-trained world models and supporting tools for building fine-tunable digital world simulations to train Physical AI.