AWhat changed
A conditioned latent-patch transformer backbone with adaLN-Zero and controlledsize/patch ablations broadens diffusion architectural options while retaining establisheddiffusion/VAE/ViT methods.
Scientific scope
A conditioned latent-patch transformer backbone with adaLN-Zero and controlledsize/patch ablations broadens diffusion architectural options while retaining establisheddiffusion/VAE/ViT methods. The work replaces the stated image-diffusion backbone with a transformer and evaluates scaling under specified training, data and guidance settings. Reported compute/quality correlations are not a universal scaling law or guarantee across all modalities. Data preparation, autoencoding and sampling costs remain. WRS has not independently replayed the experiments.
Evidence
Source-linked, scoped account of the original work. The published scope states the scientific assumptions and remaining verification limits. WRS has not independently certified the full proof, experimental result or system benchmark.
Contributors
- William Peebles · SCIENCE: Original source-listed scientific author of this scoped work; byline does not determine effort fractions.
- Saining Xie · SCIENCE: Original source-listed scientific author of this scoped work; byline does not determine effort fractions.
- Peebles and Xie, Scalable Diffusion Models with Transformers; CVF ICCV 2023 acceptedpaper
- Di T official ICCV 2023 supplement: implementation, complete model/decoder tables andsamplecaptions
- Officialar Xiv Di T title/byline and 2022 first/2023 revision history
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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