Diffusion research still leans on easy-to-game metrics like ImageNet FID
kalomaze · x · 2026-07-23
- The thread argues that diffusion research often gets away with weak or misleading problem setups because the dominant reference class is a “meme” metric such as ImageNet FID.
- The author contrasts that with harder problem constructions that cannot be endlessly gamed through proxy-metric reward hacking.
- It also pushes back on the idea that video diffusion’s “world modeling” difficulty is inherently a 1000x-FLOPS problem, arguing many baselines are simply judged on very narrow, historically inherited metrics.
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