Importance-Aware OBS Pruning for Diffusion Models | Paper Citation Record

Observation 4bd073cd-dcae-48fb-9224-33bdc26ce7e3 · outbound

This paper cites OBS-diff: Accurate pruning for diffusion models in one-shot,.

Importance-Aware OBS Pruning for Diffusion Models OBS-diff: Accurate pruning for diffusion models in one-shot,

Reference 1

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Observation 424ab9e7-5a34-429b-acbb-86a0d7ad9523 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Importance-Aware OBS Pruning for Diffusion Models Classifier-Free Diffusion Guidance

Reference 2

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Observation f2d692f0-1a63-4fd1-89ec-01d830b76ee0 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Diffusion models beat gans on image synthesis,

Reference 3

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Observation e1913c31-9065-430d-ae90-f05adb0b965c · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Scaling rectified flow transformers for high-resolution image synthesis,

Reference 5

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Observation 2f0df542-bf75-46c0-9a7e-6054bed2a490 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 6

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Observation 52761174-4d24-43fc-a1f9-7293d6313353 · outbound

This paper cites Efficient Scaling of Diffusion Transformers for Text-to-Image Generation.

Importance-Aware OBS Pruning for Diffusion Models Efficient Scaling of Diffusion Transformers for Text-to-Image Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:49.288561Z

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Observation 21409aa1-724b-4d89-914c-c9d940db0d92 · outbound

This paper cites Exploring the deep fusion of large language models and diffusion transformers for text-to-image synthesis,.

Importance-Aware OBS Pruning for Diffusion Models Exploring the deep fusion of large language models and diffusion transformers for text-to-image synthesis,

Reference 8

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Observation 78c55fe3-9ca6-4e65-91a2-368498172946 · outbound

This paper cites SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.

Importance-Aware OBS Pruning for Diffusion Models SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

Reference 9

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Observation ba1059ee-c3ad-47f3-9d75-f602310245a8 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Importance-Aware OBS Pruning for Diffusion Models FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 10

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Observation 94c5e893-dfb5-4b02-8d98-a488216deff4 · outbound

This paper cites Second order derivatives for network pruning: Optimal brain surgeon,.

Importance-Aware OBS Pruning for Diffusion Models Second order derivatives for network pruning: Optimal brain surgeon,

Reference 11

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Observation 1e5fd387-df5f-409d-82a5-2ffd4d61dfaa · outbound

This paper cites Learning to weight parameters for training data attribution,.

Importance-Aware OBS Pruning for Diffusion Models Learning to weight parameters for training data attribution,

Reference 12

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Observation d2bfc912-4c3c-4410-a371-8df9a264967a · outbound

This paper cites A model of saliency-based visual attention for rapid scene analysis,.

Importance-Aware OBS Pruning for Diffusion Models A model of saliency-based visual attention for rapid scene analysis,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:50.075876Z

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Observation c9e793e8-9fd6-476c-b88b-f1818d446931 · outbound

This paper cites Few-shot personalized scanpath prediction,.

Importance-Aware OBS Pruning for Diffusion Models Few-shot personalized scanpath prediction,

Reference 14

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Observation db74c619-6f1a-46fa-b1e4-adb2cd2c25a8 · outbound

This paper cites A computational approach to edge detection,.

Importance-Aware OBS Pruning for Diffusion Models A computational approach to edge detection,

Reference 15

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Observation 30015a4c-65c7-4352-89f4-1c05b77b6a98 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced perfor- mance and robustness,.

Importance-Aware OBS Pruning for Diffusion Models Yolov8: A novel object detection algorithm with enhanced perfor- mance and robustness,

Reference 16

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Observation 80c2022d-18ef-47f5-9061-a3e3c3fe76da · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Importance-Aware OBS Pruning for Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 17

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Observation 904baf01-58e8-4465-899d-03790b890f4e · outbound

This paper cites Denoising diffusion probabilistic models,.

Importance-Aware OBS Pruning for Diffusion Models Denoising diffusion probabilistic models,

Reference 18

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Observation d3bcc3d1-f72e-4364-95cb-652ed5e893e4 · outbound

This paper cites Denoising Diffusion Implicit Models.

Importance-Aware OBS Pruning for Diffusion Models Denoising Diffusion Implicit Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:50.918139Z

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Observation 0367427e-ce68-4b15-88b6-5bd68f490036 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models High-resolution image synthesis with latent diffusion models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:51.087574Z

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Observation 564b3a60-e719-4943-b634-260206b203eb · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Importance-Aware OBS Pruning for Diffusion Models Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:51.245665Z

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Observation 1295f38e-d29a-4a10-b4b4-a5bcaed25d0d · outbound

This paper cites Scalable diffusion models with transformers,.

Importance-Aware OBS Pruning for Diffusion Models Scalable diffusion models with transformers,

Reference 22

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Observation 30901e29-c84c-44ce-8fa9-94f83fe4b85a · outbound

This paper cites Pixart-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis,.

Importance-Aware OBS Pruning for Diffusion Models Pixart-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:51.307683Z

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Observation 0e9dae9a-c63c-4d9d-945d-203fb970fdbc · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 24

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Observation 4a97f193-e9e8-44fc-b335-fc3b8f514494 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Importance-Aware OBS Pruning for Diffusion Models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:51.463444Z

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Observation c7a7e4ed-311e-4554-8eb3-0099a4bc12d3 · outbound

This paper cites Learned representation-guided diffusion models for large-image generation,.

Importance-Aware OBS Pruning for Diffusion Models Learned representation-guided diffusion models for large-image generation,

Reference 26

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Observation 226f7541-5597-400e-91aa-dc38807cc526 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:51.670874Z

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Observation a3f86746-2886-4288-bfda-9ff52042cab8 · outbound

This paper cites Raphael: Text-to-image generation via large mixture of diffusion paths,.

Importance-Aware OBS Pruning for Diffusion Models Raphael: Text-to-image generation via large mixture of diffusion paths,

Reference 28

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Observation 4c1f5d14-d50a-4287-bea3-afa40e71e8ce · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Importance-Aware OBS Pruning for Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:51.981486Z

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Observation 7cef1090-dd60-4709-a299-7f842c3f356d · outbound

This paper cites Guiding a diffusion model with a bad version of itself,.

Importance-Aware OBS Pruning for Diffusion Models Guiding a diffusion model with a bad version of itself,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:52.122163Z

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Observation 7f5ac671-b3aa-4136-8084-b5bc9127ddea · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:52.256549Z

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Observation e0456791-7cd0-4338-be18-f9ef9c4cd45c · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:52.369431Z

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Observation 9bef1595-9a40-4e9e-8e91-bb0c012bc34b · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Importance-Aware OBS Pruning for Diffusion Models AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:52.485937Z

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Observation d798b2ba-ddb0-440f-801e-ca419c9637d2 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Open-sora: Democratizing efficient video production for all,

Reference 34

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Observation 2eaeb355-b922-4f3f-9be7-38f89a5d0d73 · outbound

This paper cites Open-sora-plan,.

Importance-Aware OBS Pruning for Diffusion Models Open-sora-plan,

Reference 35

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Observation d8e627ce-762a-48b4-8661-71bc62d9cd86 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Video generation models as world simulators. 2024,

Reference 36

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Observation de335d1f-b2e2-4b29-a1b0-afa3b0935589 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Importance-Aware OBS Pruning for Diffusion Models DreamFusion: Text-to-3D using 2D Diffusion

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:53.013718Z

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Observation 0eb5e600-e75b-4b39-9f6b-27c46f73a59c · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object,.

Importance-Aware OBS Pruning for Diffusion Models Zero-1-to-3: Zero-shot one image to 3d object,

Reference 38

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Observation 9d5248fa-3cfb-4a8e-8db2-750e69dc582c · outbound

This paper cites Wonder3d: Single image to 3d using cross-domain diffusion,.

Importance-Aware OBS Pruning for Diffusion Models Wonder3d: Single image to 3d using cross-domain diffusion,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:53.259331Z

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Observation f664611b-1275-4a65-bc78-d257bedef2cc · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Importance-Aware OBS Pruning for Diffusion Models Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 40

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Observation c5904d24-1021-4ce5-ae17-937e28d04916 · outbound

This paper cites 3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models.

Importance-Aware OBS Pruning for Diffusion Models 3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:53.529529Z

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Observation 57dab451-274c-456f-89b4-4abdf996f8ef · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation,.

Importance-Aware OBS Pruning for Diffusion Models Diffusion probabilistic models for 3d point cloud generation,

Reference 42

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Observation 8af1cbf3-8ffa-4a97-b94e-fca7f12a7e9a · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

Importance-Aware OBS Pruning for Diffusion Models Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 43

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Observation 4cbb388d-0b48-4673-849a-9f9db879ea1b · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Importance-Aware OBS Pruning for Diffusion Models DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:53.888181Z

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Observation 6449e93c-1202-446b-8dc1-ce99b9dce9b5 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Make- an-audio: Text-to-audio generation with prompt-enhanced diffusion models,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.006583Z

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Observation 5bef241b-4f60-4804-981e-afb7e5148b20 · outbound

This paper cites Magicfusion: Boosting text-to-image gener- ation performance by fusing diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models Magicfusion: Boosting text-to-image gener- ation performance by fusing diffusion models,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.089133Z

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Observation ff44cc2d-9ba0-44a5-a590-29f802f97b9c · outbound

This paper cites High-fidelity person-centric subject-to-image synthesis,.

Importance-Aware OBS Pruning for Diffusion Models High-fidelity person-centric subject-to-image synthesis,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.196275Z

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Observation abcb58e5-c601-4e08-8250-8b92ba79a367 · outbound

This paper cites Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models.

Importance-Aware OBS Pruning for Diffusion Models Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.278964Z

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Observation 9603a39f-20d5-4c11-8760-14d8b0ed2a46 · outbound

This paper cites On architectural compression of text-to- image diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models On architectural compression of text-to- image diffusion models,

Reference 49

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Observation 9359a1b1-ac7b-418e-8fdb-1d554153f75f · outbound

This paper cites Structural pruning for diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models Structural pruning for diffusion models,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.466943Z

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Observation c6fad898-134a-42e9-a460-aa1ef525db68 · outbound

This paper cites MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices.

Importance-Aware OBS Pruning for Diffusion Models MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.585110Z

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Observation 84e73a2d-4b11-44d1-80ee-1f5ac7f86847 · outbound

This paper cites Diffusion probabilistic model made slim,.

Importance-Aware OBS Pruning for Diffusion Models Diffusion probabilistic model made slim,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.669853Z

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Observation e66671bf-3ae4-4d0e-9209-1bfc53a0092c · outbound

This paper cites Snapfusion: Text-to-image diffusion model on mobile devices within two seconds,.

Importance-Aware OBS Pruning for Diffusion Models Snapfusion: Text-to-image diffusion model on mobile devices within two seconds,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.793112Z

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Observation 1626d848-6cd9-4e5a-b404-c67c430a25c3 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Progressive Distillation for Fast Sampling of Diffusion Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.916469Z

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Observation a336acc4-bfaa-4649-a989-055381212f16 · outbound

This paper cites On distillation of guided diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models On distillation of guided diffusion models,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:54.968813Z

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Observation bdb4dd75-a2d7-40d6-9c10-b55a4f56941a · outbound

This paper cites Adversarial diffusion distillation,.

Importance-Aware OBS Pruning for Diffusion Models Adversarial diffusion distillation,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.024412Z

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Observation bdba4e08-3677-4efb-ac93-4993896be41e · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation,.

Importance-Aware OBS Pruning for Diffusion Models Instaflow: One step is enough for high-quality diffusion-based text-to-image generation,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.082795Z

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Observation c0dea456-7dcd-41ed-b665-befb8bcb5b67 · outbound

This paper cites Clockwork diffusion: Efficient generation with model-step distillation,.

Importance-Aware OBS Pruning for Diffusion Models Clockwork diffusion: Efficient generation with model-step distillation,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.150300Z

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Observation b53c4c8e-f737-4968-a842-672a04e38512 · outbound

This paper cites Consistency Models.

Importance-Aware OBS Pruning for Diffusion Models Consistency Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.237192Z

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Observation a8f9bed8-412f-4571-a3ed-a83b0920c40f · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.256728Z

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Observation 2f513915-8395-4c18-99ab-57324efe12bb · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

Importance-Aware OBS Pruning for Diffusion Models Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.263174Z

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Observation 287752d0-18dd-483e-a211-306a2b54bac6 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,.

Importance-Aware OBS Pruning for Diffusion Models Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,

Reference 62

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Observation d286921f-3a35-4b63-b2be-d331027a75fe · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Importance-Aware OBS Pruning for Diffusion Models DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.277951Z

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Observation 27d24727-10e5-41b9-967f-cbe46b07bf50 · outbound

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

Importance-Aware OBS Pruning for Diffusion Models Deepcache: Accelerating diffusion models for free,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.284254Z

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Observation 25119ea2-0cdd-44f4-ba0e-a3af3171c01f · outbound

This paper cites Cache me if you can: Accelerating diffusion models through block caching,.

Importance-Aware OBS Pruning for Diffusion Models Cache me if you can: Accelerating diffusion models through block caching,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.289724Z

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Observation 2a6850a7-d292-4a22-afca-4c6aba15576e · outbound

This paper cites $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.

Importance-Aware OBS Pruning for Diffusion Models $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.295919Z

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Observation 03d1f7ac-5ffe-4123-aad8-7aaf29ac69ac · outbound

This paper cites Real-Time Video Generation with Pyramid Attention Broadcast.

Importance-Aware OBS Pruning for Diffusion Models Real-Time Video Generation with Pyramid Attention Broadcast

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.303447Z

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Observation debc99c7-89b6-46cb-96fc-2035e8a9eab8 · outbound

This paper cites Adaptive Caching for Faster Video Generation with Diffusion Transformers.

Importance-Aware OBS Pruning for Diffusion Models Adaptive Caching for Faster Video Generation with Diffusion Transformers

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.310691Z

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Observation a3919a76-7a09-4ee9-ad0b-7d5172d0cedc · outbound

This paper cites FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models.

Importance-Aware OBS Pruning for Diffusion Models FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.318517Z

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Observation ca4f2433-2ac5-41f6-9d2d-f85aadd73774 · outbound

This paper cites FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality.

Importance-Aware OBS Pruning for Diffusion Models FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.327038Z

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Observation 7889668c-994d-4450-9376-949763a9f538 · outbound

This paper cites Faster diffusion: Rethinking the role of unet encoder in diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models Faster diffusion: Rethinking the role of unet encoder in diffusion models,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.334858Z

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Observation 5fadf8ba-0107-449b-8fd2-2b017b9d13ef · outbound

This paper cites Q-diffusion: Quantizing diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models Q-diffusion: Quantizing diffusion models,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.343147Z

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Observation a81bfd35-4a83-446b-9999-ee5314664980 · outbound

This paper cites Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers.

Importance-Aware OBS Pruning for Diffusion Models Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.347631Z

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Observation 540159f5-f6bd-4bb5-930d-a37d5b83daf4 · outbound

This paper cites Ptqd: Accurate post-training quantization for diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models Ptqd: Accurate post-training quantization for diffusion models,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.356240Z

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Observation 6385d12e-d39a-40d5-adf2-1bcd37fc1542 · outbound

This paper cites QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning.

Importance-Aware OBS Pruning for Diffusion Models QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.362393Z

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Observation 045fb446-2def-445d-a8c2-440719d9aee3 · outbound

This paper cites VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers.

Importance-Aware OBS Pruning for Diffusion Models VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.367167Z

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Observation d59585bd-1061-448a-a88e-76d77de76beb · outbound

This paper cites Temporal dynamic quantization for diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models Temporal dynamic quantization for diffusion models,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.372192Z

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Observation 82af69e5-29a2-4d9d-bbca-c5bb1defdf5b · outbound

This paper cites Object- centric diffusion for efficient video editing,.

Importance-Aware OBS Pruning for Diffusion Models Object- centric diffusion for efficient video editing,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.376490Z

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Observation 05a5c00a-4b80-4fea-aacb-1ab7dcef9889 · outbound

This paper cites Token merging for fast stable diffusion,.

Importance-Aware OBS Pruning for Diffusion Models Token merging for fast stable diffusion,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.380528Z

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Observation aa8ae1ac-e8a9-4add-83f3-3252024d6a2c · outbound

This paper cites Token Merging: Your ViT But Faster.

Importance-Aware OBS Pruning for Diffusion Models Token Merging: Your ViT But Faster

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.385313Z

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Observation 1cebbf0e-e427-4cb8-b39d-5153f1c339c5 · outbound

This paper cites Token fusion: Bridging the gap between token pruning and token merging,.

Importance-Aware OBS Pruning for Diffusion Models Token fusion: Bridging the gap between token pruning and token merging,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.391002Z

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Observation 38559e4f-299a-4e1e-95b8-ebc38f09417f · outbound

This paper cites Agglomerative token clustering,.

Importance-Aware OBS Pruning for Diffusion Models Agglomerative token clustering,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.395460Z

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Observation 3c8764ee-5a08-4ad0-8210-e9e087d661a6 · outbound

This paper cites Attention-driven training-free efficiency enhancement of diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models Attention-driven training-free efficiency enhancement of diffusion models,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.400641Z

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Observation 2cd5dbe6-a104-4fc8-8905-bf3710580644 · outbound

This paper cites Vidtome: Video token merging for zero-shot video editing,.

Importance-Aware OBS Pruning for Diffusion Models Vidtome: Video token merging for zero-shot video editing,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.405420Z

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Observation acb7e852-ce46-4fc8-ba76-a9d1dad84811 · outbound

This paper cites Dynamic Diffusion Transformer.

Importance-Aware OBS Pruning for Diffusion Models Dynamic Diffusion Transformer

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.410243Z

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Observation 383b8e79-892c-4f1c-b3c2-76579b0a41ec · outbound

This paper cites Looking Backward: Streaming Video-to-Video Translation with Feature Banks.

Importance-Aware OBS Pruning for Diffusion Models Looking Backward: Streaming Video-to-Video Translation with Feature Banks

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.415377Z

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Observation 7b159a26-71d4-4756-afe7-d55d2d8dd9c4 · outbound

This paper cites SparseDM: Toward Sparse Efficient Diffusion Models.

Importance-Aware OBS Pruning for Diffusion Models SparseDM: Toward Sparse Efficient Diffusion Models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.422801Z

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Observation 961632d4-81bc-4539-925d-ca75e2f7b8c2 · outbound

This paper cites ToDo: Token Downsampling for Efficient Generation of High-Resolution Images.

Importance-Aware OBS Pruning for Diffusion Models ToDo: Token Downsampling for Efficient Generation of High-Resolution Images

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.428729Z

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Observation ee4651ba-1c49-4968-ac38-b7750925b1cc · outbound

This paper cites Toma: Token merging with attention for diffusion models,.

Importance-Aware OBS Pruning for Diffusion Models Toma: Token merging with attention for diffusion models,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.437465Z

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Observation a84f3078-ca0b-4a9a-aef9-75a50421c1fe · outbound

This paper cites Importance-based token merging for efficient image and video generation,.

Importance-Aware OBS Pruning for Diffusion Models Importance-based token merging for efficient image and video generation,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.444606Z

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Observation 8127b0a0-ef78-418a-a9c3-52c15eedc24c · outbound

This paper cites Learning both weights and connections for efficient neural network,.

Importance-Aware OBS Pruning for Diffusion Models Learning both weights and connections for efficient neural network,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.450004Z

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Observation ce95ee9f-d6e8-4cd2-8254-e8aeaeade68e · outbound

This paper cites Optimal brain damage,.

Importance-Aware OBS Pruning for Diffusion Models Optimal brain damage,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.454310Z

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Observation d110310c-05ad-4a9b-bf93-eaa54278ad5d · outbound

This paper cites Second order derivatives for network pruning: Optimal brain surgeon,.

Importance-Aware OBS Pruning for Diffusion Models Second order derivatives for network pruning: Optimal brain surgeon,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.458735Z

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Observation da1cdf16-e2f9-4828-a82f-6ae22100ccc7 · outbound

This paper cites Learning to prune deep neural networks via layer-wise optimal brain surgeon,.

Importance-Aware OBS Pruning for Diffusion Models Learning to prune deep neural networks via layer-wise optimal brain surgeon,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.463978Z

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Observation 02a7d868-35b0-49dd-aaa0-bafb00892620 · outbound

This paper cites Optimal brain compression: A framework for accurate post- training quantization and pruning,.

Importance-Aware OBS Pruning for Diffusion Models Optimal brain compression: A framework for accurate post- training quantization and pruning,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.468799Z

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Observation 0b975ca4-e489-411d-ab28-c60f40fcade7 · outbound

This paper cites SparseGPT: Massive language models can be accurately pruned in one shot,.

Importance-Aware OBS Pruning for Diffusion Models SparseGPT: Massive language models can be accurately pruned in one shot,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.473355Z

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Observation 540eacd9-4033-4f3b-afb8-43883ffab225 · outbound

This paper cites A simple and effective pruning approach for large language models,.

Importance-Aware OBS Pruning for Diffusion Models A simple and effective pruning approach for large language models,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.478722Z

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Observation c8a2b4aa-5a4f-4039-9e12-9ea77bdd2a98 · outbound

This paper cites SnapFusion: Text-to-image diffusion model on mobile devices within two seconds,.

Importance-Aware OBS Pruning for Diffusion Models SnapFusion: Text-to-image diffusion model on mobile devices within two seconds,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.483109Z

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Observation ebeeb661-7788-4714-8527-878efbe0cf13 · outbound

This paper cites BK-SDM: A lightweight, fast, and cheap version of stable diffusion,.

Importance-Aware OBS Pruning for Diffusion Models BK-SDM: A lightweight, fast, and cheap version of stable diffusion,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.489591Z

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Observation 9503492d-60a4-4b40-a3a4-8ac2f7b697cd · outbound

This paper cites Ld-pruner: Efficient pruning of latent diffusion models using task-agnostic insights,.

Importance-Aware OBS Pruning for Diffusion Models Ld-pruner: Efficient pruning of latent diffusion models using task-agnostic insights,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:55.495875Z

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Observation 9d3c3e49-362e-4620-9be5-2bcd1f182ac8 · outbound

This paper cites LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models.

Importance-Aware OBS Pruning for Diffusion Models LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models

Reference 101

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