DiffusionBench: A Holistic Benchmark for Evaluating Diffusion Transformers
By
ilreb
Summary
This is a GitHub repository announcement for DiffusionBench, a unified benchmark and codebase for evaluating and training Diffusion Transformers (DiT) across multiple generation tasks like ImageNet and text-to-image (T2I). The project aims to provide a holistic evaluation framework with support for different metrics, evaluation axes, and faithful reproductions of published methods. The repo offers a single interface for training and evaluation.
Source
Hacker NewsDiffusionBench: A Holistic Benchmark for Evaluating Diffusion Transformersgithub.comKey quotes
· 3 pulled📣 Announcement post: Call for DiffusionBench: A Holistic Benchmark for Diffusion Transformers.
Help us grow the benchmark with new evaluation axes, new metrics, and faithful reproductions of published methods.
This repo contains the unified codebase for DiffusionBench. It supports training and evaluation across different generation tasks (ImageNet, T2I, ...) through a single interface.
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