Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:21:50.176074Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2607.06173.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:21:50.176074Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
86 of 86 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0665dd74-9a36-4f68-82f0-8e3ec53f0d3f · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion InICLR, 2026
Reference 1
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Observation 83000d4c-0299-4422-9f21-25adf2816fb6 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Video generation models as world simulators
Reference 2
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Observation 56b5f97e-e07f-47f9-9f4a-600f90e82440 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 3
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Observation e19a6d29-3ef8-4d3c-a132-7e3238ea37b5 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Cogvideox: Text-to-video diffusion models with an expert transformer
Reference 4
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Observation b64368e7-2503-42e9-aa5a-210f8c96651d · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Wan: Open and Advanced Large-Scale Video Generative Models
Reference 5
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Observation c1bb6a8d-a37d-4065-9b0e-01ac40fccbad · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Efficient Video Diffusion Models: Advancements and Challenges
Reference 6
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Observation b8b0dbe1-bc09-47bf-ab64-c809dd43a7f3 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Moalign: Motion-centric representation alignment for video diffusion models.arXiv preprint arXiv:2510.19022, 2025
Reference 7
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Observation 329de75c-2e64-409b-86ad-fe1e2eb22bbe · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion A Systematic Post-Train Framework for Video Generation
Reference 8
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Observation a66d33af-1f81-4ef0-8fbd-1c72abcbb54e · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Mobile-oriented video diffusion: Enabling text-to-video generation on mobile devices without retraining, compression, or pruning
Reference 9
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Observation 62c4e14f-5f44-4f6b-83a2-085791d9ccb0 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Tamingdiffusiontransformer for real-time mobile video generation.arXiv preprint arXiv:2507.13343, 2025
Reference 10
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Observation 9d64e9b7-858d-4eec-bc0e-28b2de3a3fe7 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion S2dit: Sandwichdiffusiontransformerformobilestreaming video generation.arXiv preprint arXiv:2601.12719, 2026
Reference 11
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Observation 200ea078-6346-4511-a56c-bebbd434e54a · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Mobile video diffusion
Reference 12
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Observation ae2a47d7-3cd2-4b42-965a-48382f2dedc5 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Snapgen-v: Generating a five-second video within five seconds on a mobile device
Reference 13
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Observation 10ad7b12-a8f0-49a7-bbf7-d283b8a0cc85 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Sana-video: Efficient video generation with block linear diffusion transformer
Reference 14
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Observation 83872c8b-05ba-4e65-9a27-3e4e0afa0092 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Attention surgery: An efficient recipe to linearize your video diffusion transformer
Reference 15
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Observation 8c41ed9e-8110-43c0-a5a1-0b325df28a87 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Rehyat: Recurrent hybrid attention for video diffusion transformers
Reference 16
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Observation 41222ae2-c9b0-4745-bf05-c5803cd5d191 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion MoViE: Mobile Diffusion for Video Editing
Reference 17
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Observation 2945076f-930a-4104-ac06-ef6db7f7fac0 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Clockwork diffusion: Efficient generation with model-step distillation
Reference 18
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Observation 7f33ebbc-33da-48c5-acba-a2739fbf7f03 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Amd-hummingbird: Towards an efficient text-to-video model.arXiv preprint arXiv:2503.18559, 2025
Reference 19
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Observation c77e72b4-ffbd-437c-b03f-e349d0404ac4 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Stable video diffusion: Scaling latent video diffusion models to large datasets, 2023
Reference 20
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Observation 28edac6e-cc20-40fd-9a52-b3ee690f6fbd · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices
Reference 21
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Observation 12a83501-4239-4b27-83a0-a050ed05312e · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion SANA 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer
Reference 22
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Observation 03f24a78-e79d-40ef-b751-d55d4644aee9 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion FastLightGen: Fast and light video generation with fewer steps and parameters
Reference 23
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Observation 8cc07399-c155-4ecb-8c8c-2999ae66ac29 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Hadzic, Manling Li, AgrimGupta,StefanoMassaroli,AzaliaMirhoseini,JuanCarlosNiebles,StefanoErmon,andLiFei-Fei
Reference 24
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Observation 6bf77c7b-9a36-4be9-bf29-2009f876e8b3 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Freeman, and Taesung Park
Reference 25
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Observation 36e77ffd-78d1-4460-bc10-8c1c1423bc1d · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Classifier-Free Diffusion Guidance
Reference 26
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Observation e9479b95-a838-4f2b-bc25-37c03f4e374e · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Decoupled DMD: CFG augmentation as the spear, distribution matching as the shield
Reference 27
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Observation 2ab4b322-6347-43e0-ae9d-3589fed12c9a · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Barron, and Ben Mildenhall
Reference 28
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Observation c141a6ff-0ae5-4f5b-8e05-b154f7be9d84 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Jacobs, Alexei A
Reference 29
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Observation 7e536701-efda-4270-8828-2845afc3a97d · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Compositional visual generation with energy based models
Reference 30
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Observation 75520106-f25e-4328-a66a-4da674b0534a · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Scaling rectified flow transformers for high-resolution image synthesis
Reference 31
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Observation 63afad3a-441d-43d7-a8a4-3579a1aa6234 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Faster video diffusion with trainable sparse attention
Reference 32
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Observation 5b13600d-0b8e-44ab-83a4-80c44de019e3 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Unresolved cited work
Reference 33
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Observation bd880515-8111-4f02-8d9b-800108660d4c · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Nvidia fastgen: Fast generation from diffusion models, 2026
Reference 34
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Observation f3754048-2bd2-4f90-bb7c-12c5c315ba85 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Lightx2v: Light video generation inference framework.https://github
Reference 35
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Observation 52b4da6b-3b5d-4bfb-8c22-39a2a12d65f9 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion https://github.com/madebyollin/ taehv, 2025
Reference 36
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Observation e1007310-c2f6-4b11-be91-246cb1f4faac · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Abenchmark dataset and evaluation methodology for video object segmentation
Reference 37
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Observation cac7b691-cd6c-4f62-8b97-9c64b0d3711c · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion The 2018 DAVIS Challenge on Video Object Segmentation
Reference 38
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Observation f1660d8c-dd6f-4733-ade8-87c522b109f6 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion VBench: Comprehensive benchmark suite for video generative models
Reference 39
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Observation d96ad724-1b77-4b9d-a8ca-c43a3971daf2 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Fastforward: Neural network quantization for research and prototyping
Reference 40
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Observation 717b6340-37b6-40f5-8f41-4c2c4397acae · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Open-Sora Plan: Open-Source Large Video Generation Model
Reference 41
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Observation 15d01596-1caa-4748-8e61-e0ada1bb6a3e · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Open-Sora: Democratizing Efficient Video Production for All
Reference 42
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Observation f663fc7e-f958-4037-889d-c75f2ee01e2c · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion LTX-Video: Realtime Video Latent Diffusion
Reference 43
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Observation c0193c03-4d62-4bea-bfd3-c68e9c0fd49a · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Pyramidal flow matching for efficient video generative modeling
Reference 44
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Observation a0e029a5-6f1e-44f4-881e-082c12d34802 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion M4V: Multimodal Mamba for Efficient Text-to-Video Generation
Reference 45
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Observation 9178de47-31b3-46f5-8d09-ac9f11859376 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Fast video generation with sliding tile attention
Reference 46
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Observation d0093cfa-ae8b-4960-a083-9a1f7b9fa08f · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Tinyfusion: Diffusion transformers learned shallow
Reference 47
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Observation 895c4d68-5510-4889-b087-bcefb0f74013 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Learnable sparsity for vision generative models
Reference 48
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Observation 213050b8-77ea-48bd-a201-f03b98fd6e0e · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion OBS-diff: Accurate pruning for diffusion models in one-shot
Reference 49
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Observation 2d82b61d-5f11-4516-8166-d05b3d864973 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Generating long sequences with sparse transformers, 2019
Reference 50
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Observation e8c13547-a651-4c66-a64f-d4b6a99ae267 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Peters, and Arman Cohan
Reference 51
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Observation ee7cb08b-764b-4645-8c95-8517b67b7a8f · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Bigbird: Transformers for longer sequences
Reference 52
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Observation 7add25e1-0049-4df2-b56b-39e214cb040d · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Efficient content-based sparse attention with routing transformers.Transactions of the Association for Computational Linguistics, 2021
Reference 53
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Observation 4f7b4d4d-1f2e-434b-8794-2a34313f336e · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Object-centric diffusion for efficient video editing
Reference 54
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Observation f83acb98-93e9-42a8-8751-9fadda3b57a2 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Li, Madian Khabsa, Han Fang, and Hao Ma
Reference 55
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Observation 74345b2e-bc12-457c-b947-7395511620c8 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Reformer: The efficient transformer
Reference 56
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Observation e37b488a-8504-481f-9884-e318fbfb8f72 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Transformers are rnns: fast autoregressive transformers with linear attention
Reference 57
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Observation 621ec1a0-61ff-4575-a854-8d7fa16e2e92 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Rethinking attention with performers
Reference 58
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Observation 9fcbf503-79ae-4cdf-8829-71ae2ee8eda9 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Nyströmformer: A nyström-based algorithm for approximating self-attention
Reference 59
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Observation 6733f197-370d-4e9c-8fd8-88ca2237714d · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Flashattention: Fast and memory-efficient exact attention with IO-awareness
Reference 60
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Observation 21105a20-cfb1-4887-b021-2564722ccb9f · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Flashattention-2: Faster attention with better parallelism and work partitioning
Reference 61
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Observation 8c669b83-e667-44be-b956-8d57c750d110 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion HLA:HadamardLinear Attention, 2026
Reference 62
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Observation 10008844-d1ac-4460-9728-21a1255f4c0f · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Gonzalez, Jianfei Chen, and Jun Zhu
Reference 63
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Observation 2ad55bbe-251e-4430-8b58-ffd66485bb6c · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Liteattention: A temporal sparse attention for diffusion transformers, 2025
Reference 64
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Observation 9cdefb9a-1204-408e-a774-4c09df607f78 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Adaptor: Adaptive token reduction for video diffusion transformers
Reference 65
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Observation fcc849a4-9aeb-4aa4-bc0f-17182650aa79 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Astraea: A token-wise acceleration framework for video diffusion transformers
Reference 66
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Observation f3091fbb-4930-4616-aa1a-970ff59818ca · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion TPDiff: Temporal pyramid video diffusion model
Reference 67
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Observation 419ae7e7-3235-4804-b14f-8455ee8b9189 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion PyramidalWan: On making pretrained video model pyramidal for efficient inference
Reference 68
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Observation a2ca59ec-a324-4b23-ac28-59ab87993b94 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Fast high-resolution image synthesis with latent adversarial diffusion distillation
Reference 69
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Observation 746a97f2-ffbe-40ac-b7b8-3c2d3aaf9e5b · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Align your flow: Scaling continuous-time flow map distillation
Reference 70
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Observation afff3e65-0637-49e6-8843-30302922a7a6 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Sana-sprint: One-step diffusion with continuous-time consistency distillation
Reference 71
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Observation 2f384f97-88ea-4529-b0c9-1bc9adbf0c53 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Twinflow: Realizing one-step generation on large models with self-adversarial flows
Reference 72
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Observation 63eeaf85-85e2-4820-b70b-64f91e2b6ec1 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Metaxas, Sergey Tulyakov, and Jian Ren
Reference 73
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Observation 32b42b70-542d-46a6-a358-63fdb248e063 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Diffusion adversarial post-training for one-step video generation
Reference 74
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Observation 26c233d2-db87-427b-b0f5-f444462b1afb · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Reference 75
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Observation 5c8da603-62b1-435c-9a23-1c50cfcdb00d · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Phaseddmd: Few-stepdistributionmatchingdistillationviascorematching within subintervals, 2026
Reference 76
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Observation 8704d43a-1e2e-4f96-a6b0-f1ab322eb20e · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion MagicDistillation: Weak-to-strong video distillation for large-scale few-step synthesis, 2025
Reference 77
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Observation eb4ab00e-4d25-461e-8567-c8b2da711457 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Transition matching distillation for fast video generation, 2026
Reference 78
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Observation a45c92bb-cffa-4cef-9630-6ee949c24d9c · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion HiStream: Efficient high-resolution video generation via redundancy-eliminated streaming, 2025
Reference 79
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Observation ab4308f2-105f-4161-b820-e4a4c3a22eb1 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Large scale diffusion distillation via score-regularized continuous-time consistency
Reference 80
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Observation 4d5a3b0d-8da9-475d-90f3-1f0dd436d42d · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Cosmos world foundation model platform for physical ai, 2025
Reference 81
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Observation b7d20e67-52dd-4e3d-bb90-f634afb71444 · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Leanvae: An ultra-efficient reconstruction vae for video diffusion models, 2025
Reference 82
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Observation cd9d7904-7a15-4d0b-ac30-c9880b53610e · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion WF-VAE: Enhancing video vae by wavelet-driven energy flow for latent video diffusion model
Reference 83
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Observation 77514c81-80eb-4b56-9621-4e4cc0b995bd · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Improved video vae for latent video diffusion model
Reference 84
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Observation d2f634a8-fe5f-446c-9fba-df038803177c · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion Turbo-vaed: Fast and stable transfer of video-vaes to mobile devices
Reference 85
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Observation b353ad8a-d5ca-4d40-a22f-4d0e875ef7ca · outbound
MobileWan: Closing the Quality Gap for Mobile Video Diffusion CV-VAE: A compatible video VAE for latent generative video models
Reference 86
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