Towards Precise Scaling Laws for Video Diffusion Transformers | Paper Citation Record

Observation 6959664b-9adb-4de5-be0e-a573a00b1a82 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Towards Precise Scaling Laws for Video Diffusion Transformers DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 1

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Observation 121e8797-2caf-4cb6-9959-b24eda427fd7 · outbound

This paper cites u-$\mu$P: The Unit-Scaled Maximal Update Parametrization.

Towards Precise Scaling Laws for Video Diffusion Transformers u-$\mu$P: The Unit-Scaled Maximal Update Parametrization

Reference 2

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Observation 523ba06a-a3aa-4b23-ab8f-f07675bb14a4 · outbound

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

Towards Precise Scaling Laws for Video Diffusion Transformers Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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Observation 86828b5b-13e7-4606-aa7e-e8d188465b3d · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

Towards Precise Scaling Laws for Video Diffusion Transformers Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

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Observation 23ae8ba5-13e2-4e27-8e80-3375ba641bb3 · outbound

This paper cites Video generation models as world simulators, 2024.

Towards Precise Scaling Laws for Video Diffusion Transformers Video generation models as world simulators, 2024

Reference 5

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This paper cites Videocrafter2: 9 Overcoming data limitations for high-quality video diffu- sion models.

Towards Precise Scaling Laws for Video Diffusion Transformers Videocrafter2: 9 Overcoming data limitations for high-quality video diffu- sion models

Reference 6

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Observation 5f67f53a-93e8-4dcb-a53a-c8f44139d549 · outbound

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

Towards Precise Scaling Laws for Video Diffusion Transformers PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 8

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Observation 27030f13-9a31-4096-90a1-2e1f9b33cc0a · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

Towards Precise Scaling Laws for Video Diffusion Transformers Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 9

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Observation 239e98e6-c1dc-4962-b088-5800c70fbf7c · outbound

This paper cites Seine: Short-to-long video diffu- sion model for generative transition and prediction.

Towards Precise Scaling Laws for Video Diffusion Transformers Seine: Short-to-long video diffu- sion model for generative transition and prediction

Reference 10

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Observation 48708aa3-a572-46ae-8c7a-4fb831e2474c · outbound

This paper cites Adversarial Video Generation on Complex Datasets.

Towards Precise Scaling Laws for Video Diffusion Transformers Adversarial Video Generation on Complex Datasets

Reference 11

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Observation 4ba04073-6539-46c9-bf6f-3e2d34f5ec09 · outbound

This paper cites The Llama 3 Herd of Models.

Towards Precise Scaling Laws for Video Diffusion Transformers The Llama 3 Herd of Models

Reference 12

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Observation fcb6e01f-93f8-46e6-a087-fff832362720 · outbound

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

Towards Precise Scaling Laws for Video Diffusion Transformers Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 13

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Observation 9dd5c5e8-c743-4fee-a509-75eef8c6e838 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

Towards Precise Scaling Laws for Video Diffusion Transformers Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 14

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Observation f0625430-8b40-479d-b21c-e00cb918bcaa · outbound

This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.

Towards Precise Scaling Laws for Video Diffusion Transformers Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 16

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

Towards Precise Scaling Laws for Video Diffusion Transformers Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 17

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Observation 69a9fec3-811e-4398-8b6d-48bba4422a5c · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

Towards Precise Scaling Laws for Video Diffusion Transformers Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 18

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Observation 073df9a6-4ee6-463a-8f99-ba741dea8c5e · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

Towards Precise Scaling Laws for Video Diffusion Transformers Scaling Laws for Autoregressive Generative Modeling

Reference 20

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Observation ac41a400-3674-404e-90dc-b7815959f048 · outbound

This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.

Towards Precise Scaling Laws for Video Diffusion Transformers StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Reference 21

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Observation 1e98f59e-12d8-4299-8fb0-3b28d16be15e · outbound

This paper cites Local Lipschitz Bounds of Deep Neural Networks.

Towards Precise Scaling Laws for Video Diffusion Transformers Local Lipschitz Bounds of Deep Neural Networks

Reference 22

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Observation b81af0fb-8aa1-4a35-a82c-f5b818c30df7 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Towards Precise Scaling Laws for Video Diffusion Transformers Deep Learning Scaling is Predictable, Empirically

Reference 23

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This paper cites Denoising dif- fusion probabilistic models.

Towards Precise Scaling Laws for Video Diffusion Transformers Denoising dif- fusion probabilistic models

Reference 24

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Observation 34aa8a0c-fe31-45a6-a434-57e4226866e0 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Towards Precise Scaling Laws for Video Diffusion Transformers Imagen Video: High Definition Video Generation with Diffusion Models

Reference 25

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Observation a399adbe-96a3-4e3c-a374-be1b23908883 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Towards Precise Scaling Laws for Video Diffusion Transformers Training Compute-Optimal Large Language Models

Reference 26

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Observation ac75d370-f0fd-461a-9257-8a71e4f11fd1 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Towards Precise Scaling Laws for Video Diffusion Transformers CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 27

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Observation 5674c9ff-7cf3-4108-9623-f4809b357269 · outbound

This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.

Towards Precise Scaling Laws for Video Diffusion Transformers DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Reference 28

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Observation 5f808a54-7347-4b75-96ba-73401d1c1386 · outbound

This paper cites Scaling Laws for Neural Language Models.

Towards Precise Scaling Laws for Video Diffusion Transformers Scaling Laws for Neural Language Models

Reference 29

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Observation 89143203-6888-476f-b378-3a6c0eaa9a69 · outbound

This paper cites Klingai, 2024.

Towards Precise Scaling Laws for Video Diffusion Transformers Klingai, 2024

Reference 30

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Observation e703bb33-e5cd-493a-b05e-823776b64579 · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

Towards Precise Scaling Laws for Video Diffusion Transformers VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 31

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Observation 290835e3-5c72-4468-a4f5-ed8240a28293 · outbound

This paper cites On the scalability of diffusion-based text-to-image generation.

Towards Precise Scaling Laws for Video Diffusion Transformers On the scalability of diffusion-based text-to-image generation

Reference 32

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Observation 8487dc0d-9166-45f7-a414-4bf0d7732189 · outbound

This paper cites Scaling laws for diffusion transformers.

Towards Precise Scaling Laws for Video Diffusion Transformers Scaling laws for diffusion transformers

Reference 33

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Observation 5f009bd5-a877-460a-884d-dbbf479fee0f · outbound

This paper cites MarDini: Masked Autoregressive Diffusion for Video Generation at Scale.

Towards Precise Scaling Laws for Video Diffusion Transformers MarDini: Masked Autoregressive Diffusion for Video Generation at Scale

Reference 34

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Observation 98c15704-7791-411b-ab39-520ae39c2635 · outbound

This paper cites VDT: General-purpose Video Diffusion Transformers via Mask Modeling.

Towards Precise Scaling Laws for Video Diffusion Transformers VDT: General-purpose Video Diffusion Transformers via Mask Modeling

Reference 35

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

Towards Precise Scaling Laws for Video Diffusion Transformers SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 36

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Observation e2e0e4c3-8574-464b-b192-af4da32c6d1a · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

Towards Precise Scaling Laws for Video Diffusion Transformers Latte: Latent Diffusion Transformer for Video Generation

Reference 37

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Observation 427014aa-0976-4f90-9497-e97d0f9c1a8a · outbound

This paper cites An Empirical Model of Large-Batch Training.

Towards Precise Scaling Laws for Video Diffusion Transformers An Empirical Model of Large-Batch Training

Reference 38

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Observation 6a5edc9d-e900-49f9-b244-471ee9fdbdb8 · outbound

This paper cites Bigger is not Always Better: Scaling Properties of Latent Diffusion Models.

Towards Precise Scaling Laws for Video Diffusion Transformers Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Reference 39

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Observation 21b465df-66bc-4b3f-bef9-0cd4dae2f1e8 · outbound

This paper cites Sora, 2024.

Towards Precise Scaling Laws for Video Diffusion Transformers Sora, 2024

Reference 40

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Observation d17b79ed-2c06-4b43-8b34-a9140e7474e3 · outbound

This paper cites Scalable diffusion models with transformers.

Towards Precise Scaling Laws for Video Diffusion Transformers Scalable diffusion models with transformers

Reference 42

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This paper cites Movie Gen: A Cast of Media Foundation Models.

Towards Precise Scaling Laws for Video Diffusion Transformers Movie Gen: A Cast of Media Foundation Models

Reference 43

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This paper cites Tempo- ral generative adversarial nets with singular value clipping.

Towards Precise Scaling Laws for Video Diffusion Transformers Tempo- ral generative adversarial nets with singular value clipping

Reference 44

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Observation 8dae8a06-b1a9-44d4-b608-45a4c9204f79 · outbound

This paper cites Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

Towards Precise Scaling Laws for Video Diffusion Transformers Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 45

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This paper cites Measuring the effects of data parallelism on neural network training.

Towards Precise Scaling Laws for Video Diffusion Transformers Measuring the effects of data parallelism on neural network training

Reference 46

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Observation fe91a8cf-b0f1-47ee-b514-f21d73011611 · outbound

This paper cites Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler.

Towards Precise Scaling Laws for Video Diffusion Transformers Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler

Reference 47

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This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Towards Precise Scaling Laws for Video Diffusion Transformers Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 48

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This paper cites Don't Decay the Learning Rate, Increase the Batch Size.

Towards Precise Scaling Laws for Video Diffusion Transformers Don't Decay the Learning Rate, Increase the Batch Size

Reference 49

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Observation f51b78f6-d8af-438b-afaa-050ceb8d494f · outbound

This paper cites Denoising Diffusion Implicit Models.

Towards Precise Scaling Laws for Video Diffusion Transformers Denoising Diffusion Implicit Models

Reference 50

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Observation 681fb9ba-e4f2-4b34-8b25-418904736e6a · outbound

This paper cites Video-Infinity: Distributed Long Video Generation.

Towards Precise Scaling Laws for Video Diffusion Transformers Video-Infinity: Distributed Long Video Generation

Reference 51

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This paper cites Mocogan: Decomposing motion and content for video generation.

Towards Precise Scaling Laws for Video Diffusion Transformers Mocogan: Decomposing motion and content for video generation

Reference 52

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This paper cites Phenaki: Variable length video generation from open domain textual descriptions.

Towards Precise Scaling Laws for Video Diffusion Transformers Phenaki: Variable length video generation from open domain textual descriptions

Reference 53

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Observation d62a95e3-e629-4f28-8429-ffcb2c61a67c · outbound

This paper cites Generating videos with scene dynamics.

Towards Precise Scaling Laws for Video Diffusion Transformers Generating videos with scene dynamics

Reference 54

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Observation 0f79c6ea-effe-4c7b-9f36-98830d650975 · outbound

This paper cites Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

Towards Precise Scaling Laws for Video Diffusion Transformers Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Reference 55

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Towards Precise Scaling Laws for Video Diffusion Transformers Adapting to smoothness: A more universal algorithm for on- line convex optimization

Reference 56

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Observation a63ae0b9-8093-4009-b810-b9cf60a0ed87 · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

Towards Precise Scaling Laws for Video Diffusion Transformers Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 57

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This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Towards Precise Scaling Laws for Video Diffusion Transformers VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 58

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Observation a3381a06-ed1b-4b35-9dc9-e8900b1ff2a3 · outbound

This paper cites Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.

Towards Precise Scaling Laws for Video Diffusion Transformers Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 59

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Observation efdaa03c-4afe-486d-b26e-1de95e965cc3 · outbound

This paper cites Rerender a video: Zero-shot text-guided video-to-video translation.

Towards Precise Scaling Laws for Video Diffusion Transformers Rerender a video: Zero-shot text-guided video-to-video translation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:58.055536Z

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Observation e0f695d4-8db7-4e38-90d8-76b3c2e43858 · outbound

This paper cites Space-time diffusion features for zero-shot text-driven motion transfer.

Towards Precise Scaling Laws for Video Diffusion Transformers Space-time diffusion features for zero-shot text-driven motion transfer

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:58.043210Z

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Observation ac178b8d-662a-4fbb-a554-74a39c0478d9 · outbound

This paper cites NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation.

Towards Precise Scaling Laws for Video Diffusion Transformers NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Reference 62

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This paper cites Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.

Towards Precise Scaling Laws for Video Diffusion Transformers Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

Reference 63

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This paper cites Tora: Trajectory-oriented Diffusion Transformer for Video Generation.

Towards Precise Scaling Laws for Video Diffusion Transformers Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Reference 64

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This paper cites Moviedreamer: Hier- archical generation for coherent long visual sequence.

Towards Precise Scaling Laws for Video Diffusion Transformers Moviedreamer: Hier- archical generation for coherent long visual sequence

Reference 65

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This paper cites Open-sora: Democratizing efficient video production for all, 2024.

Towards Precise Scaling Laws for Video Diffusion Transformers Open-sora: Democratizing efficient video production for all, 2024

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:58.030147Z

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This paper cites StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.

Towards Precise Scaling Laws for Video Diffusion Transformers StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Reference 67

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