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Diffusion for World Modeling: Visual Details Matter in Atari , author= · 2024

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cs.CL 1 cs.LG 1

years

2024 2

verdicts

CONDITIONAL 2

representative citing papers

Diffusion Models Are Real-Time Game Engines

cs.LG · 2024-08-27 · conditional · novelty 7.0

A diffusion model trained on DOOM play sessions generates stable real-time interactive game frames at 20 FPS with quality near lossy JPEG.

Scaling Diffusion Language Models via Adaptation from Autoregressive Models

cs.CL · 2024-10-23 · conditional · novelty 6.0

Adapting autoregressive models via continual pre-training yields diffusion language models from 127M to 7B parameters that outperform prior diffusion models and compete with their autoregressive counterparts on language, reasoning, and commonsense benchmarks.

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Showing 2 of 2 citing papers.

  • Diffusion Models Are Real-Time Game Engines cs.LG · 2024-08-27 · conditional · none · ref 28

    A diffusion model trained on DOOM play sessions generates stable real-time interactive game frames at 20 FPS with quality near lossy JPEG.

  • Scaling Diffusion Language Models via Adaptation from Autoregressive Models cs.CL · 2024-10-23 · conditional · none · ref 88

    Adapting autoregressive models via continual pre-training yields diffusion language models from 127M to 7B parameters that outperform prior diffusion models and compete with their autoregressive counterparts on language, reasoning, and commonsense benchmarks.