2026-09-30 · America/Los_Angeles · 社区动态 · #14

Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes [R]

coupled-jump.github.io Hi everyone, I’m happy to share our recent NeurIPS 2026 paper, a collaboration across Google, Google DeepMind and Stony Brook University. We study a mismatch in joint text and image generation: a model can describe the correct solution to a maze while drawing a different path. Generating both outputs in parallel doesn’t necessarily keep them consistent. Our sampler, CO₂Jump, uses text confidence and cross-modal attention to guide image updates during sampling. It also allows low-confidence tokens to be masked again and regenerated, so earlier decisions can be revised…

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