SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models | Paper Citation Record

Observation d7362e4e-6079-41ee-b93e-d9ec6009c04c · outbound

This paper cites an unresolved cited work.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:07.921633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec53f27-678e-4350-b598-b8a3a0c13829 · outbound

This paper cites Building normalizing flows with stochastic interpolants.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Building normalizing flows with stochastic interpolants

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:07.926606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b516f778-002e-49cd-9752-c96b851d8be2 · outbound

This paper cites Stochastic interpolants: A unifying framework for flows and diffusions.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Stochastic interpolants: A unifying framework for flows and diffusions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:07.931151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64abe0f1-e747-4495-96cc-2a6e34a368e9 · outbound

This paper cites Coyo-700m: Image-text pair dataset.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Coyo-700m: Image-text pair dataset

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:07.938678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4945d416-c45f-4362-8266-8339f26fd90d · outbound

This paper cites Emerging properties in self-supervised vision transformers.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Emerging properties in self-supervised vision transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:15.925475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25194881-bcd8-4ee0-a2d6-17077edbb1b5 · outbound

This paper cites Neural ordinary differential equations.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Neural ordinary differential equations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:07.947090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edb7dda5-070f-4bd1-a048-8867cd32c4bc · outbound

This paper cites Learning a similarity metric discriminatively, with application to face verification.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Learning a similarity metric discriminatively, with application to face verification

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:15.783757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b687ff5-785b-4af7-ad74-99d3490e20a9 · outbound

This paper cites Flow matching in latent space.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Flow matching in latent space

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:15.661505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f9b8feb2-b961-4e0c-8e30-acca8d9584ed · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Imagenet: A large-scale hierarchical image database

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:07.958833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87dcc392-c16a-4dd0-8602-ec8f5c9bbe39 · outbound

This paper cites Nice: Non-linear independent components estimation.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Nice: Non-linear independent components estimation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:15.524282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5a440062-b473-4cb3-9f23-15bb5812d29e · outbound

This paper cites Density estimation using real nvp.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Density estimation using real nvp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:15.404052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ebb641f-844a-42c1-be33-b4a9f91b55ff · outbound

This paper cites The use of multiple measurements in taxonomic problems.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models The use of multiple measurements in taxonomic problems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:15.244659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3e880c2f-b758-4fba-bd67-62c657d86dfd · outbound

This paper cites Discriminatory analysis: nonparametric discrimination, consistency properties.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Discriminatory analysis: nonparametric discrimination, consistency properties

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:15.107961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28d3395b-30aa-4155-bfbc-218e41da406f · outbound

This paper cites Implicit style-content separation using b-lora.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Implicit style-content separation using b-lora

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:14.991993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7e86f786-02d8-4d23-a983-12eaad4f8965 · outbound

This paper cites Diffusion Models and Representation Learning: A Survey.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Diffusion Models and Representation Learning: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:07.979603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77b4804-3b74-47b6-8684-74e696cb5ae1 · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:14.838859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8bd3026-52ab-4384-aa05-3f73b485e25d · outbound

This paper cites Sliderspace: Decomposing the visual capabilities of diffusion models, 2025.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Sliderspace: Decomposing the visual capabilities of diffusion models, 2025

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:14.731245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bbac2f8f-5a48-4ea1-96a2-3a2253678d71 · outbound

This paper cites Gatys, Alexander S.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Gatys, Alexander S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:14.580917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22d850c6-1661-45f1-accc-3bd5dc07ad79 · outbound

This paper cites Gatys, Alexander S.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Gatys, Alexander S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:14.459018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b808513-a11e-4bec-bf4d-0f9e5ebeea50 · outbound

This paper cites Depthfm: Fast monocular depth estimation with flow matching.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Depthfm: Fast monocular depth estimation with flow matching

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:14.314360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1af54293-1902-49b0-92de-fbbe50e27ed5 · outbound

This paper cites Flowtok: Flowing seamlessly across text and image tokens.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Flowtok: Flowing seamlessly across text and image tokens

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.000702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d869422-5603-4737-9f89-b37cb2418ffc · outbound

This paper cites Momentum Contrast for Unsupervised Visual Representation Learning.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Momentum Contrast for Unsupervised Visual Representation Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.004069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b49a258-ad66-4ec8-ad5e-8e786e74ec24 · outbound

This paper cites Prompt-to-prompt image editing with cross attention control.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Prompt-to-prompt image editing with cross attention control

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:14.183249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f105edf-41d0-4b6f-9397-ec76b92f96ed · outbound

This paper cites Style aligned image generation via shared attention.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Style aligned image generation via shared attention

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:14.022867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb9fa9d4-5537-406d-b923-0082a27a0102 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.016168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fba8b88-96a1-48a0-bb46-bddf51c9e6f8 · outbound

This paper cites Denoising diffusion probabilistic models.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Denoising diffusion probabilistic models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.020793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 975b5a32-ad9d-41f9-bb97-79e9bad329ae · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.024957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad70269a-3d97-445b-b3c1-e9e9f077f091 · outbound

This paper cites an unresolved cited work.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:35:13.806455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7048fd24-4c94-4f73-ab83-51ae128f3a37 · outbound

This paper cites Gpt-4o system card.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Gpt-4o system card

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:13.644493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b7493d5f-51c2-40fd-9f9a-7dcee85385cb · outbound

This paper cites Product quantization for nearest neighbor search.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Product quantization for nearest neighbor search

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:13.523437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f81b932-8f0a-46ed-b913-f00f420d4cc3 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Perceptual losses for real-time style transfer and super-resolution

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:13.388081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3cd73458-92fc-40ed-8721-62f1b8991d1c · outbound

This paper cites Recognizing Image Style.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Recognizing Image Style

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.043498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001f1347-f693-4ca5-a0f9-51d4f1ab23df · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Elucidating the design space of diffusion-based generative models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.047243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4deb538b-abb1-43b0-80ba-3cd50085cbc3 · outbound

This paper cites Glow: Generative flow with invertible 1x1 convolutions.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Glow: Generative flow with invertible 1x1 convolutions

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.050509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 885a75d6-6eba-4ec3-8751-58501f3fe203 · outbound

This paper cites Rethinking style transfer: From pixels to parameterized brushstrokes.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Rethinking style transfer: From pixels to parameterized brushstrokes

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:13.268159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0cdb4b1-6a84-432c-83f9-c1d7b3e092dd · outbound

This paper cites an unresolved cited work.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:35:13.110273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fed918af-5f2d-4b53-a745-513265e2bfd8 · outbound

This paper cites Learning linear transformations for fast image and video style transfer.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Learning linear transformations for fast image and video style transfer

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:12.942175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 959d0203-6c80-4d73-9422-d32b1e02f847 · outbound

This paper cites Flow matching for generative modeling.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Flow matching for generative modeling

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:12.796547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 97cbb602-6296-43b0-ad9a-712ab458943b · outbound

This paper cites an unresolved cited work.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:35:12.628592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ebf5361a-c4b0-4750-b77d-b0e96e5406cb · outbound

This paper cites Improved baselines with visual instruction tuning.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Improved baselines with visual instruction tuning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:12.452023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c3b4601-112d-4bc1-aac4-8b6bb0a78fb6 · outbound

This paper cites Flowing from words to pixels: A noise-free framework for cross-modality evolution.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Flowing from words to pixels: A noise-free framework for cross-modality evolution

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:12.303181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d03c5d59-af81-4b01-b73e-f1b881643af5 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:12.159047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24d7af7d-4317-4f83-89df-e154e9b98417 · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:11.946768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a63af26a-e668-4f40-a756-71e2ab59a0e7 · outbound

This paper cites Some methods for classification and analysis of multivariate observations.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Some methods for classification and analysis of multivariate observations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:11.747907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c1d3f5f-0994-4c04-b76c-b45d3cc69a96 · outbound

This paper cites An introduction to information retrieval.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models An introduction to information retrieval

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:11.564117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f4b1197-e64c-414d-b93e-db7a14666a28 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.090408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab78af91-69b6-4ee1-b7bd-575c562fbcee · outbound

This paper cites Action matching: Learning stochastic dynamics from samples.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Action matching: Learning stochastic dynamics from samples

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:11.381081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 900ddfc3-36a6-46c5-a6c2-ce6ec34b78ff · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Representation Learning with Contrastive Predictive Coding

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.097516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf98ca6-b4e5-4b92-abd7-fb72f27f9599 · outbound

This paper cites Deadiff: An efficient stylization diffusion model with disentangled representations.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Deadiff: An efficient stylization diffusion model with disentangled representations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:11.166879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 39bcd24d-5f31-4453-b20f-f6e948fdd335 · outbound

This paper cites Learning transferable visual models from natural language supervision.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Learning transferable visual models from natural language supervision

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:10.992590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 39227bfb-b9cf-42bc-a0a7-4a32ba456872 · outbound

This paper cites Zero-shot text-to-image generation.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Zero-shot text-to-image generation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:10.767205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 345d52f8-00f2-40e9-b18b-ef36f7eae12d · outbound

This paper cites Hierarchical text-conditional image generation with clip latents, 2022.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Hierarchical text-conditional image generation with clip latents, 2022

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.112213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 364a468f-b28d-4f46-8ef3-62ffc30fcd54 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models High-resolution image synthesis with latent diffusion models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:10.641614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88c134f8-559a-4a1e-bbed-4ad0b8065add · outbound

This paper cites Aladin: All layer adaptive instance normalization for fine-grained style similarity.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Aladin: All layer adaptive instance normalization for fine-grained style similarity

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:10.477542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b208262d-2f5c-4746-8aae-456a18f3dcd8 · outbound

This paper cites Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.122149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 262cc2e5-b727-4de5-bafc-fa306b7a9198 · outbound

This paper cites Improving deep metric learning by divide and conquer.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Improving deep metric learning by divide and conquer

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:10.339167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52737977-3c49-4815-b576-5c13767bd552 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.129432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc013455-e114-4cdc-bd93-c96c334bb17e · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.132986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d76afc8-c043-4841-b857-d8fcabe8dfc9 · outbound

This paper cites Boosting latent diffusion with flow matching.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Boosting latent diffusion with flow matching

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:10.079433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c194d10a-5fbd-4934-a0a9-3cf90d47a28d · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Ziplora: Any subject in any style by effectively merging loras

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:09.865210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74677e87-b082-4a98-b40b-a8de75af0a95 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.143900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed3ea15b-b1fb-402b-8ac3-4458b3c2d973 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition, 2015.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Very deep convolutional networks for large-scale image recognition, 2015

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:09.677102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79eb81ac-e394-46a4-bda3-204f12976843 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Deep unsupervised learning using nonequilibrium thermodynamics

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.151083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7153ecdd-c4a6-48e3-85db-20d757f8a730 · outbound

This paper cites Measuring style similarity in diffusion models.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Measuring style similarity in diffusion models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:09.490700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 54a17369-7b34-42b5-8b04-84a51374486b · outbound

This paper cites Measuring style similarity in diffusion models, 2024 b.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Measuring style similarity in diffusion models, 2024 b

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:09.274573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c8b20b2-ccb8-4896-b321-726b66caef99 · outbound

This paper cites Denoising diffusion implicit models.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Denoising diffusion implicit models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:09.171118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8683466-86cb-4db8-8ddc-e2840732af4a · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Score-based generative modeling through stochastic differential equations

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.961990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 085fddce-2bd0-4471-901e-1c95814a50a9 · outbound

This paper cites Cleandift: Diffusion features without noise.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Cleandift: Diffusion features without noise

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.749745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3686093c-bf83-4f11-ad56-62ee594242b7 · outbound

This paper cites Ctrloralter: Conditional loradapter for efficient 0-shot control and altering of t2i models.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Ctrloralter: Conditional loradapter for efficient 0-shot control and altering of t2i models

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.657858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b969667c-0dad-45f0-94f6-6cd9fb313e4e · outbound

This paper cites Emergent correspondence from image diffusion.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Emergent correspondence from image diffusion

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.632174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1ff38868-8983-492f-8088-f514f7665c14 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.603883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 342982d1-e033-4af9-ace6-03108ddcf661 · outbound

This paper cites Visualizing data using t-sne.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Visualizing data using t-sne

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.180946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7fc8a73-bbd0-4318-9644-7f5efc87e09e · outbound

This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.184334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ec9312-4fc3-4506-9f7f-af572ce8ed97 · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.187882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f79f1b-7a09-4bf3-92e0-586eccdba709 · outbound

This paper cites Evaluating data attribution for text-to-image models.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Evaluating data attribution for text-to-image models

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.562570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b459bb3-98ff-42d5-8c2c-6c44d7e977b0 · outbound

This paper cites Glstylenet: exquisite style transfer combining global and local pyramid features.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Glstylenet: exquisite style transfer combining global and local pyramid features

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.526592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cc628cf7-edb3-4ad5-9a26-c0c772569abf · outbound

This paper cites Microast: Towards super-fast ultra-resolution arbitrary style transfer.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Microast: Towards super-fast ultra-resolution arbitrary style transfer

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.500915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5639276f-c696-47b7-bb11-4a818e9357c0 · outbound

This paper cites Bam! the behance artistic media dataset for recognition beyond photography.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Bam! the behance artistic media dataset for recognition beyond photography

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.477081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad7d99ea-1d1f-4955-9571-0b738ffaf8b3 · outbound

This paper cites Csgo: Content-style composition in text-to-image generation, 2024.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Csgo: Content-style composition in text-to-image generation, 2024

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.462957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb4401f6-6f08-4912-8241-cb68130c264f · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.452677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f21252f1-af65-43a9-9cef-be06a55e32f2 · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023 b.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Adding conditional control to text-to-image diffusion models, 2023 b

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T04:35:08.212949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5495ab14-1209-4394-b8db-8474efb28527 · outbound

This paper cites Domain enhanced arbitrary image style transfer via contrastive learning.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Domain enhanced arbitrary image style transfer via contrastive learning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.434329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8634d751-90ea-4859-a102-6614fceca80f · outbound

This paper cites Style fader generative adversarial networks for style degree controllable artistic style transfer.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Style fader generative adversarial networks for style degree controllable artistic style transfer

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:35:08.421665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers