LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation | Paper Citation Record

Observation 23c0c78e-6d93-42c6-ac84-ca40d6f2cb25 · outbound

This paper cites FLUX.1: Text-to-image Generation Model.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation FLUX.1: Text-to-image Generation Model

Reference 1

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Observation d0ac8b8c-69e5-4768-b667-0fba1d1ffe84 · outbound

This paper cites TOPIQ: A top-down approach from semantics to distortions for image quality assessment.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation TOPIQ: A top-down approach from semantics to distortions for image quality assessment

Reference 2

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Observation 55b17f16-d4a6-4606-82a5-746bad9ce3cc · outbound

This paper cites Neural ordinary differential equations.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Neural ordinary differential equations

Reference 3

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Observation ce448b97-2d23-405a-b4d6-04545af06e98 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 4

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Observation c050e79a-4fcc-48b8-ae61-2cf9c6cf4f4c · outbound

This paper cites Flow Matching in Latent Space.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Flow Matching in Latent Space

Reference 5

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Observation 94e7f47a-58e0-4399-a3d2-74fbeaf869e2 · outbound

This paper cites Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 6

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Observation 3be94829-1bb3-4a7a-8b77-782ea0a1f69d · outbound

This paper cites Demofusion: Democratising high- resolution image generation with no $$$.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Demofusion: Democratising high- resolution image generation with no $$$

Reference 7

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Observation 44ebd80b-4e18-4e49-8233-445801766213 · outbound

This paper cites I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 8

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Observation 2896637c-8fc9-4d94-938c-e38c916da157 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Taming transformers for high-resolution image synthesis

Reference 9

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Observation 6db1bf78-32a8-4018-87e7-e6d03a7fdaf4 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 10

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Observation 068335b4-c028-4a1e-9d0e-5191729a19f3 · outbound

This paper cites A Fourier Space Perspective on Diffusion Models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation A Fourier Space Perspective on Diffusion Models

Reference 11

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Observation 1d7ee47c-edc4-4a95-9ee9-0eb2e946b9f6 · outbound

This paper cites Geneval: An object-focused framework for evaluating text- to-image alignment.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Geneval: An object-focused framework for evaluating text- to-image alignment

Reference 12

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Observation 9bde51b6-98c0-4552-b752-297a5e35753f · outbound

This paper cites Smooth diffusion: Crafting smooth latent spaces in dif- fusion models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Smooth diffusion: Crafting smooth latent spaces in dif- fusion models

Reference 13

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Observation 61a5df3b-974f-41d5-991e-777276c851cc · outbound

This paper cites Make a cheap scaling: A self- cascade diffusion model for higher-resolution adaptation.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Make a cheap scaling: A self- cascade diffusion model for higher-resolution adaptation

Reference 14

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This paper cites Improved Noise Schedule for Diffusion Training.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Improved Noise Schedule for Diffusion Training

Reference 15

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Observation aa2d7c88-cd64-4f57-8405-68ea0e29e973 · outbound

This paper cites Deep residual learning for image recognition.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Deep residual learning for image recognition

Reference 16

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Observation 8f26b664-66b8-4c19-a22d-dbe37f8ea9be · outbound

This paper cites Denoising diffu- sion probabilistic models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Denoising diffu- sion probabilistic models

Reference 17

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Observation d466b5ad-5001-49d6-b2ac-58d1069c5537 · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Cascaded diffu- sion models for high fidelity image generation

Reference 18

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Observation 764af541-65ff-456f-b198-35645ef5bbc3 · outbound

This paper cites Diffusehigh: Training-free progressive high- resolution image synthesis through structure guidance.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Diffusehigh: Training-free progressive high- resolution image synthesis through structure guidance

Reference 19

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Observation 285d48be-3a74-476d-9877-c681e427cf90 · outbound

This paper cites Variational diffusion models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Variational diffusion models

Reference 20

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Observation f5286a7e-b95d-4dc9-93c9-94d4733a5899 · outbound

This paper cites Auto-encoding varia- tional Bayes.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Auto-encoding varia- tional Bayes

Reference 21

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Observation 1a2d4549-d673-40cf-8a25-04bcd32395e3 · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 22

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Observation d798448f-ead4-4607-b89a-34f8ee2f97c8 · outbound

This paper cites Microsoft coco: Common objects in context.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Microsoft coco: Common objects in context

Reference 23

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Observation a967417c-48b7-4e64-bf84-0d0e63eba639 · outbound

This paper cites Flow Matching for Generative Modeling.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Flow Matching for Generative Modeling

Reference 24

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Observation f43143fe-743a-4133-9c89-30880657aac2 · outbound

This paper cites CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up

Reference 25

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Observation b01047a7-f29e-4092-83a1-75f85bc22fc5 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 26

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Observation b1f18f86-0bf3-4e05-be5f-c075f49d317c · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 27

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This paper cites completely blind.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation completely blind

Reference 28

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This paper cites Understanding the latent space of diffusion models through the lens of Riemannian geome- try.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Understanding the latent space of diffusion models through the lens of Riemannian geome- try

Reference 29

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Observation 3f91b356-1f36-42df-8996-ba53c590dad4 · outbound

This paper cites Exploring Diffusion and Flow Matching Under Generator Matching.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Exploring Diffusion and Flow Matching Under Generator Matching

Reference 30

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This paper cites Scalable diffusion models with transformers.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Scalable diffusion models with transformers

Reference 31

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This paper cites SDXL: Improving Latent Diffusion Mod- els for High-Resolution Image Synthesis.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation SDXL: Improving Latent Diffusion Mod- els for High-Resolution Image Synthesis

Reference 32

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Observation 976c896d-66b9-4aa6-b6a4-1178ea7686f1 · outbound

This paper cites Boosting diffusion models with moving average sampling in frequency domain.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Boosting diffusion models with moving average sampling in frequency domain

Reference 33

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Observation 3f2afe82-d83a-4cd2-843d-46fd45464b0f · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Learn- ing transferable visual models from natural language super- vision

Reference 34

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This paper cites Stochastic backpropagation and approximate inference in deep generative models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Stochastic backpropagation and approximate inference in deep generative models

Reference 35

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

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation High-resolution image synthesis with latent diffusion models

Reference 36

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Observation 5592991e-ecf1-4fae-ba0c-eba69bcc0165 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 37

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Observation eef7d74e-f5fb-48c4-8115-d01d75c4596e · outbound

This paper cites FMBoost: Boosting Latent Diffusion with Flow Matching.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation FMBoost: Boosting Latent Diffusion with Flow Matching

Reference 38

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Observation ab365d81-9734-4f2d-a36f-dd8ed2e64465 · outbound

This paper cites Denois- ing Diffusion Implicit Models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Denois- ing Diffusion Implicit Models

Reference 39

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Observation 9d002f12-205c-48b3-9f97-1bc8f41674a3 · outbound

This paper cites Flow Matching Posterior Sampling: A Training-free Conditional Generation for Flow Matching.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Flow Matching Posterior Sampling: A Training-free Conditional Generation for Flow Matching

Reference 40

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This paper cites Attention is all you need.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Attention is all you need

Reference 41

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This paper cites Diffusers: State-of-the-art diffu- sion models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Diffusers: State-of-the-art diffu- sion models

Reference 42

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Observation dc0c895f-1a29-4bc7-b8a3-b404699763e8 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Ex- ploring clip for assessing the look and feel of images

Reference 43

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Observation 7b8c788f-ffd2-4887-88ae-fe7bd06ef828 · outbound

This paper cites MegaFusion: Extend Dif- fusion Models towards Higher-resolution Image Generation without Further Tuning.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation MegaFusion: Extend Dif- fusion Models towards Higher-resolution Image Generation without Further Tuning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:22:29.206871Z

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Observation 2d2feeaf-3fd4-450b-b53f-631ba4c3e8d1 · outbound

This paper cites FreeDiff: Progressive Frequency Trun- cation for Image Editing with Diffusion Models.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation FreeDiff: Progressive Frequency Trun- cation for Image Editing with Diffusion Models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:22:29.087708Z

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Observation 565c366d-a8d2-49de-aec8-d63e3199c6c5 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 46

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This paper cites Deconvolutional networks.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Deconvolutional networks

Reference 47

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Observation 3e10fa57-2718-45b1-82b4-4a0f44619872 · outbound

This paper cites Dynamic Diffusion Transformer.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Dynamic Diffusion Transformer

Reference 48

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This paper cites Designing a Better Asymmetric VQGAN for StableDiffusion.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Designing a Better Asymmetric VQGAN for StableDiffusion

Reference 49

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LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Unresolved cited work

Reference 50

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Observation 4e3d27dc-6aab-40b7-84aa-66c0c331319b · outbound

This paper cites an unresolved cited work.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:22:28.631546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers