Unveiling the Secret of AdaLN-Zero in Diffusion Transformer | Paper Citation Record

Observation 061bb80a-c590-4375-90b0-e3f8c620a997 · outbound

This paper cites Scalable diffusion models with transformers,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Scalable diffusion models with transformers,

Reference 1

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Observation 251f7c84-6d6e-4e3a-b4e4-c28d71aa0bdc · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Diffusion models beat gans on image synthesis,

Reference 2

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Observation de54c5e0-0bf7-4f58-82ab-7f91154bc4e8 · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer High- resolution image synthesis with latent diffusion models,

Reference 3

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Observation 5ecc1ac5-e21d-4bd9-a239-a4adaea37b2f · outbound

This paper cites Visionllama: A unified llama backbone for vision tasks,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Visionllama: A unified llama backbone for vision tasks,

Reference 4

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Observation 3f0696c6-4660-4bf0-89cb-8c2041a364fe · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 5

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Observation 5c3b62ea-04aa-4a51-8926-770b6c977864 · outbound

This paper cites FiT: Flexible Vision Transformer for Diffusion Model.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer FiT: Flexible Vision Transformer for Diffusion Model

Reference 6

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Observation bc7b16dc-c0ac-46b1-bd7e-49fca75e54a7 · outbound

This paper cites U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers

Reference 7

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Observation 0794aa2f-8f14-4b1e-a22d-8d6be3c961da · outbound

This paper cites SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer

Reference 8

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Observation 105c9fff-c547-4890-a506-c56eef937d1c · outbound

This paper cites Fasterdit: Towards faster diffusion transformers training without architecture modification,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Fasterdit: Towards faster diffusion transformers training without architecture modification,

Reference 9

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Observation 507def2c-5769-4e7b-af3f-4ee686484d78 · outbound

This paper cites Roformer: En- hanced transformer with rotary position embedding,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Roformer: En- hanced transformer with rotary position embedding,

Reference 10

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Observation 8b48fed9-7234-4260-8cab-63dbb8cd73ec · outbound

This paper cites GLU Variants Improve Transformer.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer GLU Variants Improve Transformer

Reference 11

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Observation e54686e1-e60c-4641-9687-a56b61026eee · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Scaling rectified flow transformers for high-resolution image synthesis,

Reference 12

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Observation d9ac4349-ff52-4e6e-b14e-aae591407678 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 13

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Observation f9ae9c13-e2b3-401b-a033-d541c301d334 · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 14

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Observation e820df1c-10d1-48cf-bad1-ad64a454f49e · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

Reference 15

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Observation afd46162-1fac-4e4e-986d-9b26b782e77b · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 16

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Observation 7317b5f6-4696-4ad3-9233-0a380e0d8100 · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Elucidating the design space of diffusion-based generative models,

Reference 17

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Observation de197934-a01c-4ce8-9818-7f0dcee8bff1 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Analyzing and improving the training dynamics of diffusion models,

Reference 18

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Observation 2be22698-9134-4eef-b249-2e715f53a515 · outbound

This paper cites Mole: En- hancing human-centric text-to-image diffusion via mixture of low-rank experts,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Mole: En- hancing human-centric text-to-image diffusion via mixture of low-rank experts,

Reference 19

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Observation 87ff3248-00d9-47b4-a4d0-b950456f6adb · outbound

This paper cites Squeeze-and-excitation networks,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Squeeze-and-excitation networks,

Reference 20

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Observation 91e40c70-db90-4377-a6f3-c9c5648b9a7a · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer ImageNet Large Scale Visual Recognition Challenge,

Reference 21

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Observation ccafd034-3784-4ff1-889e-e84ea4c2b207 · outbound

This paper cites Attention is all you need,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Attention is all you need,

Reference 22

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Observation c19fe0f3-3aa8-48f3-b96c-f3d7ce0f7739 · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

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Observation a52863e7-6876-4f6f-adca-f23f5c454a1e · outbound

This paper cites Layoutdm: Transformer-based diffusion model for layout generation,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Layoutdm: Transformer-based diffusion model for layout generation,

Reference 24

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Observation 15b7a432-fbb3-47a8-ad03-87a8d59631e0 · outbound

This paper cites Masked diffusion trans- former is a strong image synthesizer,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Masked diffusion trans- former is a strong image synthesizer,

Reference 25

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Observation 09d3f644-b9d8-4f65-9f54-1e98aa18e327 · outbound

This paper cites Dit- 3d: Exploring plain diffusion transformers for 3d shape generation,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Dit- 3d: Exploring plain diffusion transformers for 3d shape generation,

Reference 26

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Observation 19c2ac9f-712d-4e66-9faf-750b3569e1ea · outbound

This paper cites Diffuser: efficient transformers with multi-hop attention diffusion for long sequences,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Diffuser: efficient transformers with multi-hop attention diffusion for long sequences,

Reference 27

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Observation fd4c7915-d2a9-42fa-b001-f528e73d7015 · outbound

This paper cites Latent diffusion transformer for probabilistic time series forecasting,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Latent diffusion transformer for probabilistic time series forecasting,

Reference 28

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Observation 2680193e-7ff4-43a5-9651-5f72ea0b2730 · outbound

This paper cites All are worth words: A vit backbone for diffusion models,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer All are worth words: A vit backbone for diffusion models,

Reference 29

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Observation a1f85d73-3157-4120-bf24-4a8da04d9465 · outbound

This paper cites Scaling Diffusion Transformers to 16 Billion Parameters.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Scaling Diffusion Transformers to 16 Billion Parameters

Reference 30

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Observation 4c0fd045-4c5d-497a-bb18-a5593a0b96eb · outbound

This paper cites Gentron: Diffusion transformers for image and video generation,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Gentron: Diffusion transformers for image and video generation,

Reference 31

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Observation ae7c37f3-ecfb-44e0-bc8d-6be1610439a2 · outbound

This paper cites Dlt: Conditioned layout generation with joint discrete-continuous diffusion layout trans- former,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Dlt: Conditioned layout generation with joint discrete-continuous diffusion layout trans- former,

Reference 32

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Observation 895a01e5-0261-4da0-adb7-9dc54f4b0266 · outbound

This paper cites Scalable high-resolution pixel-space image synthesis JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 12 with hourglass diffusion transformers,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Scalable high-resolution pixel-space image synthesis JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 12 with hourglass diffusion transformers,

Reference 33

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Observation 61fc9032-92ce-4441-bfc0-f94dfcd8a9af · outbound

This paper cites DiffiT: Diffusion Vision Transformers for Image Generation.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer DiffiT: Diffusion Vision Transformers for Image Generation

Reference 34

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Observation 58b0722d-5e34-410d-9706-972ca5d2ce00 · outbound

This paper cites A review on weight initialization strategies for neural networks,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer A review on weight initialization strategies for neural networks,

Reference 35

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Observation 90a4af35-6bc0-49e4-ac6e-7a54a0294f4a · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Understanding the difficulty of training deep feedforward neural networks,

Reference 36

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Observation f595ad9f-c04e-4b75-adc4-545f25f2f0a3 · outbound

This paper cites Caffe: Convolutional architecture for fast feature embedding,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Caffe: Convolutional architecture for fast feature embedding,

Reference 37

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Observation a34fe535-60c4-4fbd-8ddb-9836132b9f37 · outbound

This paper cites Rectified linear units improve restricted boltz- mann machines,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Rectified linear units improve restricted boltz- mann machines,

Reference 38

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Observation c1cc095d-5b98-4da8-adf7-f6ec233d2052 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 39

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Observation 40c66c7a-a3c3-4c1c-9203-6212df09a8ab · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 40

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This paper cites Denoising diffusion probabilistic models,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Denoising diffusion probabilistic models,

Reference 41

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Observation 134a75a0-7c9e-41d5-b10a-81d38524ac3d · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 42

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This paper cites Improved techniques for training gans,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Improved techniques for training gans,

Reference 43

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Observation 1d2ce698-cd38-444b-b357-9e47d87409e5 · outbound

This paper cites Deep residual learning for image recognition,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Deep residual learning for image recognition,

Reference 44

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Observation 7cbb087e-8197-4b5a-bb17-50c2f75a3bfa · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Adding conditional control to text-to-image diffusion models,

Reference 45

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This paper cites Generating images with sparse representations,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Generating images with sparse representations,

Reference 46

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Observation 065a4afb-52ec-4918-b1ea-dffa9ba29b52 · outbound

This paper cites Im- proved precision and recall metric for assessing generative models,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Im- proved precision and recall metric for assessing generative models,

Reference 47

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This paper cites Tiny imagenet visual recognition challenge,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Tiny imagenet visual recognition challenge,

Reference 48

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This paper cites Stargan v2: Diverse image synthesis for multiple domains,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Stargan v2: Diverse image synthesis for multiple domains,

Reference 49

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This paper cites Progressive growing of GANs for improved quality, stability, and variation,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Progressive growing of GANs for improved quality, stability, and variation,

Reference 50

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Observation e13e0729-63b6-4a3f-a552-a72066a03088 · outbound

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

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Learning transferable visual models from natural language supervision,

Reference 51

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This paper cites Computing higher order deriva- tives of matrix and tensor expressions,.

Unveiling the Secret of AdaLN-Zero in Diffusion Transformer Computing higher order deriva- tives of matrix and tensor expressions,

Reference 52

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