Introduction
Rectified Flow formulates generation and distribution transfer through increasingly straight transport paths, supplying a theoretical source for later flow-based image models independently of product announcements.
View full image ↗Figure 1: rectified-flow trajectories in generation and human-to-cat image transfer. Source: v1; the image version is distinct from the initial submission date.
Liu, Xingchao; Gong, Chengyue; Liu, Qiang · original paper / arXiv · Rights in the paper and depicted works remain with their holders. Research quotation does not establish an open licence; republication rights await independent review.
Source · Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow ↗RESEARCH ACCOUNT
Rectified Flow formulates generation and distribution transfer through increasingly straight transport paths, supplying a theoretical source for later flow-based image models independently of product announcements.
ANTI-AI ARCHIVE · Revised 2026-10-03
What the paper investigates
The method trains a neural ordinary differential equation to follow approximately straight paths between two distributions. Repeated rectification can make trajectories straighter. Image generation, image translation and domain adaptation experiments test the possibility of using coarser numerical integration.
Section sources: Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Its place in generative-art history
Editorial interpretation: generation becomes legible as a learned transformation path. Comparison with later entries such as Stable Diffusion 3 separates a theoretical proposal, its implementation in a model and the date when a public encounters a tool.
Section sources: Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reading limits and versions
This entry uses the 2022 preprint date. It remains distinct from Flow Matching; mathematical proofs were not independently checked.
Section sources: Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Sources for this account
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 3; proofs and full experiments were not independently audited.
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 3; proofs and full experiments were not independently audited. The account and translation are AI-assisted, pending independent human review. Section references identify evidence without claiming independent verification of every historical statement.
Continue with a comparative question
Rectified Flow: compare methods, control or evaluation conditions with Flow Matching.
Rectified Flow: compare methods, control or evaluation conditions with MeanFlow.
Rectified Flow: compare methods, control or evaluation conditions with Stable Diffusion 3 / Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.
Rectified Flow: compare methods, control or evaluation conditions with A new model ecosystem.
Dates & version record
Date displayed for this node: 2022-09-07 · Historical date recorded for the source: 2022-09-07
The timeline uses the initial arXiv submission, distinct from conference publication, model release and the archive addition on 3 October 2026. The account and image refer to v1; its date is recorded in the source history.
These dates refer to the historical event or recorded version, not this page’s publication date. The original date precision and unresolved questions are retained.
Original sources & further reading
These links lead to the cited paper, article, institution or conference page. External texts retain their source languages.
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
https://arxiv.org/abs/2209.03003
Current cited URL
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 3; proofs and full experiments were not independently audited.
Provenance, translation & verification
Archive node #195 · Initial research-paper submission; methods, evaluation and production conditions
Research materials & supplement references · 1
Recent research papers: additions and reconciled sources since 2022 · Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 3; proofs and full experiments were not independently audited. · 005
Date as recorded: 2022-09-07
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow ↗
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Archive account based on the listed research materials, not a full translation of the linked work. AI-assisted translation; independent human review pending.
Official material was read within the stated scope; see the source note for reading limits and outstanding checks.
Cite this node
ANTI-AI ARCHIVE. Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow. Art-history node #195. https://salondesrefuses.cn/en/art-history/328
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