Guiding Token-Sparse Diffusion Models | Paper Citation Record

Observation a6373c6f-2ae8-436d-b33b-5d79ac7069a0 · outbound

This paper cites Self-rectifying diffu- sion sampling with perturbed-attention guidance.

Guiding Token-Sparse Diffusion Models Self-rectifying diffu- sion sampling with perturbed-attention guidance

Reference 1

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Observation 4a5c7fd5-2379-47ed-88f1-6689d7d21826 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Guiding Token-Sparse Diffusion Models Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 2

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Observation 2b5f4c58-82ad-4dea-9cc9-3617af406298 · outbound

This paper cites Lumiere: A space-time diffusion model for video generation.

Guiding Token-Sparse Diffusion Models Lumiere: A space-time diffusion model for video generation

Reference 3

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Observation 049ba0cd-01d4-4de6-b8a3-519422e20eef · outbound

This paper cites Improving image generation with better captions.Computer Science.

Guiding Token-Sparse Diffusion Models Improving image generation with better captions.Computer Science

Reference 4

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Observation c6fcb0a9-c4d1-48ed-bcad-b5bf9ddf713a · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Guiding Token-Sparse Diffusion Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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Observation f58eeead-933a-467a-a851-21b5ab4863a4 · outbound

This paper cites Video generation models as world simulators.

Guiding Token-Sparse Diffusion Models Video generation models as world simulators

Reference 6

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Observation ea48f0b4-a5a8-405b-a37d-88c53215d052 · outbound

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

Guiding Token-Sparse Diffusion Models Coyo-700m: Image-text pair dataset

Reference 7

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Observation bd5f7bc8-753e-4c7f-b0b8-da131b15b1c5 · outbound

This paper cites Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation, 2024.

Guiding Token-Sparse Diffusion Models Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation, 2024

Reference 8

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Observation 443418a0-fbe9-44fd-8f2f-20b6274307ca · outbound

This paper cites Pixart- α: Fast training of diffusion transformer for photorealistic text-to-image synthe- sis.ICLR, 2024.

Guiding Token-Sparse Diffusion Models Pixart- α: Fast training of diffusion transformer for photorealistic text-to-image synthe- sis.ICLR, 2024

Reference 9

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Observation 6c59ac19-0be4-41b6-ad32-71e6c549425a · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

Guiding Token-Sparse Diffusion Models Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 10

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Observation d6c4d476-6285-41c8-9919-663599385812 · outbound

This paper cites Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers.

Guiding Token-Sparse Diffusion Models Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers

Reference 11

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Observation 7cbecdcc-8003-4765-b216-9e33c35f811a · outbound

This paper cites Diffusion models beat gans on image synthesis.NeurIPS, 2021.

Guiding Token-Sparse Diffusion Models Diffusion models beat gans on image synthesis.NeurIPS, 2021

Reference 12

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Observation 4c8b845a-f9eb-4e54-b3db-f00de600a22c · outbound

This paper cites Continuous conditional generative adversarial networks: Novel empirical losses and label input mechanisms.

Guiding Token-Sparse Diffusion Models Continuous conditional generative adversarial networks: Novel empirical losses and label input mechanisms

Reference 13

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Observation 46f66984-eb56-49b7-b93d-411f4a204ecd · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Guiding Token-Sparse Diffusion Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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Observation d8dae33c-bd9c-4d4e-a2da-8f0a9e1d6fd3 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.ICML, 2024.

Guiding Token-Sparse Diffusion Models Scaling rectified flow transformers for high-resolution image synthesis.ICML, 2024

Reference 15

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Observation fce86933-3f87-4417-89e9-eac9301d2ba8 · outbound

This paper cites FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark.

Guiding Token-Sparse Diffusion Models FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark

Reference 16

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Observation 50a226c8-1f9d-4578-81b7-b4ba3c90a39a · outbound

This paper cites Masked diffusion transformer is a strong image synthe- sizer.

Guiding Token-Sparse Diffusion Models Masked diffusion transformer is a strong image synthe- sizer

Reference 17

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Observation 169f42ce-8133-47c0-8fe9-656ad609156a · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to- image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023.

Guiding Token-Sparse Diffusion Models Geneval: An object-focused framework for evaluating text-to- image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023

Reference 18

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Observation 01e3632d-1a80-4299-86c7-bc7de57bf49a · outbound

This paper cites Gemini 2.0 flash: Model card.

Guiding Token-Sparse Diffusion Models Gemini 2.0 flash: Model card

Reference 19

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Observation dc04419d-c0f5-46d3-ad1d-975b04c97304 · outbound

This paper cites Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis, 2024.

Guiding Token-Sparse Diffusion Models Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis, 2024

Reference 20

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Observation e231af7a-6000-49fd-bb17-b2c7020b3b08 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Guiding Token-Sparse Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 21

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Observation 4c141e81-a4ec-43f2-a1e3-463494a392ea · outbound

This paper cites Classifier-free diffusion guidance.

Guiding Token-Sparse Diffusion Models Classifier-free diffusion guidance

Reference 22

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Observation a38c9c9e-db43-492a-97cf-c6f5a6643808 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Guiding Token-Sparse Diffusion Models Denoising diffu- sion probabilistic models

Reference 23

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Observation 188ce7fe-2ab3-4638-8762-97e5488d6dd2 · outbound

This paper cites Video diffusion models.

Guiding Token-Sparse Diffusion Models Video diffusion models

Reference 24

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Observation 65dbdf2a-560b-454f-ae22-ae64f98e5f6a · outbound

This paper cites Improving sample quality of diffusion models us- ing self-attention guidance.

Guiding Token-Sparse Diffusion Models Improving sample quality of diffusion models us- ing self-attention guidance

Reference 25

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Observation a87b0997-d202-49a6-89de-9d26bc3c3577 · outbound

This paper cites Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models.

Guiding Token-Sparse Diffusion Models Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models

Reference 26

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Observation 2c58c9d2-9d30-4faa-ac41-7a79a0113e02 · outbound

This paper cites GPT-4o System Card.

Guiding Token-Sparse Diffusion Models GPT-4o System Card

Reference 27

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Observation c39c08f7-67aa-46b1-b0e8-fee161902efc · outbound

This paper cites Spatiotemporal skip guidance for enhanced video diffusion sampling.

Guiding Token-Sparse Diffusion Models Spatiotemporal skip guidance for enhanced video diffusion sampling

Reference 28

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Observation cdcb1845-0e54-4d12-9c09-3186912caf41 · outbound

This paper cites Guiding a diffusion model using sliding windows.

Guiding Token-Sparse Diffusion Models Guiding a diffusion model using sliding windows

Reference 29

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Observation e9901c2e-4873-427d-9475-77410a788608 · outbound

This paper cites Guiding a diffusion model with a bad version of itself.Advances in Neural Infor- mation Processing Systems, 37:52996–53021, 2024.

Guiding Token-Sparse Diffusion Models Guiding a diffusion model with a bad version of itself.Advances in Neural Infor- mation Processing Systems, 37:52996–53021, 2024

Reference 30

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Observation a0511644-2bd0-4248-9b3f-deae547bff2d · outbound

This paper cites Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis.

Guiding Token-Sparse Diffusion Models Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis

Reference 31

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Observation 0900b85f-f2da-42f5-a0e9-2e5966813a5e · outbound

This paper cites Tread: Token routing for efficient architecture-agnostic diffusion training.

Guiding Token-Sparse Diffusion Models Tread: Token routing for efficient architecture-agnostic diffusion training

Reference 32

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Observation 212cc438-bb3a-45fb-90b4-274f23545395 · outbound

This paper cites Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32, 2019.

Guiding Token-Sparse Diffusion Models Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32, 2019

Reference 33

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Observation c7dce278-fd9c-470e-9429-aa5336d45d56 · outbound

This paper cites Applying guidance in a limited interval improves sample and distribution quality in diffusion models.NeurIPS, 2024.

Guiding Token-Sparse Diffusion Models Applying guidance in a limited interval improves sample and distribution quality in diffusion models.NeurIPS, 2024

Reference 34

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Observation bd1e5c83-c009-4bd4-b84b-f3d048201024 · outbound

This paper cites an unresolved cited work.

Guiding Token-Sparse Diffusion Models Unresolved cited work

Reference 35

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Observation 185b8f5c-3286-4478-85a9-fb90ae98e044 · outbound

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

Guiding Token-Sparse Diffusion Models Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 36

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Observation 86bdbf9d-1baa-4439-b1af-bf37f8db312f · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Guiding Token-Sparse Diffusion Models Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

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Observation 66a3ad13-7ead-48d7-ad77-1f9be4330edc · outbound

This paper cites Flow matching for generative modeling.

Guiding Token-Sparse Diffusion Models Flow matching for generative modeling

Reference 38

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Observation 2d2cdbe5-c2b6-48c3-9e84-5edbb75081c7 · outbound

This paper cites Audi- oldm: Text-to-audio generation with latent diffusion models.

Guiding Token-Sparse Diffusion Models Audi- oldm: Text-to-audio generation with latent diffusion models

Reference 39

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Observation 7cc7aabc-b29b-4c7b-97d9-7f7668d56a10 · outbound

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

Guiding Token-Sparse Diffusion Models Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 40

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Observation 95101738-de23-49cd-9c35-6f90b5295ad3 · outbound

This paper cites Decoupled weight decay regularization.

Guiding Token-Sparse Diffusion Models Decoupled weight decay regularization

Reference 41

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Observation 1b755507-1910-42ba-82c9-34d53f20576c · outbound

This paper cites Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models.

Guiding Token-Sparse Diffusion Models Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

Reference 42

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Observation cf92d963-15db-492e-9bd6-02f6af2aecc3 · outbound

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

Guiding Token-Sparse Diffusion Models Sit: Exploring flow and diffusion-based generative models with scalable in- terpolant transformers

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Observation 2cb79127-8bac-4cf0-8a72-c843a532a34e · outbound

This paper cites Albergo, Nicholas M.

Guiding Token-Sparse Diffusion Models Albergo, Nicholas M

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Observation 1e8af4b8-890f-4f4e-9bb9-81712b71d5f4 · outbound

This paper cites Deepcache: Accelerating diffusion models for free, 2023.

Guiding Token-Sparse Diffusion Models Deepcache: Accelerating diffusion models for free, 2023

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Observation 69fe9527-5063-4a28-9030-b76afc498c14 · outbound

This paper cites Learning-to-cache: Accelerating diffusion transformer via layer caching, 2024.

Guiding Token-Sparse Diffusion Models Learning-to-cache: Accelerating diffusion transformer via layer caching, 2024

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Observation e51a40a6-f485-4401-ae0e-7b7e279713cf · outbound

This paper cites Hpsv3: Towards wide-spectrum human preference score.

Guiding Token-Sparse Diffusion Models Hpsv3: Towards wide-spectrum human preference score

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Observation 0a878edf-caba-4d46-b7d7-314f47291d59 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Guiding Token-Sparse Diffusion Models Improved denoising diffusion probabilistic models

Reference 48

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Observation 6e340c0b-caab-45aa-834e-92ea2f7323e2 · outbound

This paper cites Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models.

Guiding Token-Sparse Diffusion Models Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models

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Observation c4b445e2-cee6-4c1c-b76e-811f281a2a75 · outbound

This paper cites Journeydb: A benchmark for generative image understanding, 2023.

Guiding Token-Sparse Diffusion Models Journeydb: A benchmark for generative image understanding, 2023

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Observation 30126d74-8800-4f75-810c-feb6e5bf5453 · outbound

This paper cites Scalable diffusion models with transformers.ICCV, 2023.

Guiding Token-Sparse Diffusion Models Scalable diffusion models with transformers.ICCV, 2023

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Observation 04a02a2f-6c75-48d6-8a84-f8430764e5f4 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

Guiding Token-Sparse Diffusion Models SDXL: Improving latent diffusion models for high-resolution image synthesis

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Observation f90dea6d-d71e-4319-9158-58f1bc7abaf4 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Guiding Token-Sparse Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

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Observation 029f37e1-621a-43b7-a5e2-8493cbcb0b8f · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

Guiding Token-Sparse Diffusion Models Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

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Observation e68546b3-4391-4a03-aa60-b2603449263a · outbound

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

Guiding Token-Sparse Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 55

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Observation 60519fb4-ed2e-40da-a307-a26117ddd552 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Guiding Token-Sparse Diffusion Models U-net: Convolutional networks for biomedical image segmentation

Reference 56

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Observation a7ae1302-987d-4b8e-a3ad-955a0aa14b48 · outbound

This paper cites No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models.

Guiding Token-Sparse Diffusion Models No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Reference 57

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Observation eb6e24af-85f6-4337-ab36-b7910234f940 · outbound

This paper cites Improved techniques for training gans.

Guiding Token-Sparse Diffusion Models Improved techniques for training gans

Reference 58

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Observation a9885157-15b2-4466-bc64-662316392571 · outbound

This paper cites Baumann, Vincent Tao Hu, and Björn Ommer.

Guiding Token-Sparse Diffusion Models Baumann, Vincent Tao Hu, and Björn Ommer

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Observation 1d40ae68-99c5-446e-9f29-4215fa0d2b9a · outbound

This paper cites Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget.

Guiding Token-Sparse Diffusion Models Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget

Reference 60

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Observation 4acdd0f8-ce85-4d3c-81f2-75ca7e2f358a · outbound

This paper cites GLU Variants Improve Transformer.

Guiding Token-Sparse Diffusion Models GLU Variants Improve Transformer

Reference 61

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Observation 4a29f6aa-2e71-42bf-bf62-891034ce41de · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Guiding Token-Sparse Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics

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This paper cites Denoising diffusion implicit models.

Guiding Token-Sparse Diffusion Models Denoising diffusion implicit models

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This paper cites Improved techniques for training score-based generative models.Advances in neural information processing systems, 33:12438–12448, 2020.

Guiding Token-Sparse Diffusion Models Improved techniques for training score-based generative models.Advances in neural information processing systems, 33:12438–12448, 2020

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This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Guiding Token-Sparse Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

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This paper cites Stable diffusion 2.0 release.

Guiding Token-Sparse Diffusion Models Stable diffusion 2.0 release

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This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063,.

Guiding Token-Sparse Diffusion Models Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063,

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This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Guiding Token-Sparse Diffusion Models Llama 2: Open Foundation and Fine-Tuned Chat Models

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This paper cites Attention is all you need.NeurIPS, 2017.

Guiding Token-Sparse Diffusion Models Attention is all you need.NeurIPS, 2017

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Guiding Token-Sparse Diffusion Models Unresolved cited work

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This paper cites Fasterdit: Towards faster diffusion transformers training with- out architecture modification.Advances in Neural Informa- tion Processing Systems, 37:56166–56189, 2024.

Guiding Token-Sparse Diffusion Models Fasterdit: Towards faster diffusion transformers training with- out architecture modification.Advances in Neural Informa- tion Processing Systems, 37:56166–56189, 2024

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This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Guiding Token-Sparse Diffusion Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

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This paper cites Root mean square layer normalization.Advances in neural information processing systems, 32, 2019.

Guiding Token-Sparse Diffusion Models Root mean square layer normalization.Advances in neural information processing systems, 32, 2019

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This paper cites Fast training of diffusion models with masked trans- formers.TMLR, 2024.

Guiding Token-Sparse Diffusion Models Fast training of diffusion models with masked trans- formers.TMLR, 2024

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This paper cites Cogview4-6b.

Guiding Token-Sparse Diffusion Models Cogview4-6b

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This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Guiding Token-Sparse Diffusion Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

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This paper cites Describe the image by detailing the color, shape, size, texture, quantity, text, and spatial relationships of the objects.

Guiding Token-Sparse Diffusion Models Describe the image by detailing the color, shape, size, texture, quantity, text, and spatial relationships of the objects

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