Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:39:19.881636Z
Paper Citation Record · LEDGER
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise
As of 15 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2502.03496.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T06:58:57.044175Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
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- unresolved19
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 21cb8df8-876a-4c98-96d4-244192b006f0 · outbound
This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29a84198-af32-478a-ab65-4bf37aa393fe · outbound
This paper cites Disentangling multiple features in video sequences using gaussian processes in variational autoencoders.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Disentangling multiple features in video sequences using gaussian processes in variational autoencoders
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d02fe021-1fbb-4b81-a625-1fc894d873b8 · outbound
This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Align your latents: High-resolution video synthesis with latent diffusion models
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff49cb2e-37af-439a-94ef-9829e78b87b1 · outbound
This paper cites Efros, and Tero Karras.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Efros, and Tero Karras
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0e056318-a864-4eb5-8a1c-9230bbbd0683 · outbound
This paper cites Emerging properties in self-supervised vision transformers.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Emerging properties in self-supervised vision transformers
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e9cfa0a-f850-4fb3-838f-57ac605ca93f · outbound
This paper cites an unresolved cited work.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Unresolved cited work
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a7ef1e34-080c-4433-bfdd-5e281f3a4a4f · outbound
This paper cites Videocrafter1: Open diffusion models for high-quality video generation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Videocrafter1: Open diffusion models for high-quality video generation
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 102f352a-4e1e-408f-a23d-bcf672067d15 · outbound
This paper cites Diffusion models beat gans on image synthesis.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Diffusion models beat gans on image synthesis
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 42e4fc9d-e3bb-46eb-b55d-49228bba4c49 · outbound
This paper cites Long video generation with time-agnostic VQGAN and time-sensitive transformer.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Long video generation with time-agnostic VQGAN and time-sensitive transformer
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dbacefaf-f612-416c-acc4-643a9365526f · outbound
This paper cites Preserve your own correlation: A noise prior for video diffusion models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Preserve your own correlation: A noise prior for video diffusion models
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ab126555-e309-41b8-8995-7d64372ed6e0 · outbound
This paper cites Goodfellow, Jean Pouget - Abadie, Mehdi Mirza, Bing Xu, David Warde - Farley, Sherjil Ozair, Aaron C.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Goodfellow, Jean Pouget - Abadie, Mehdi Mirza, Bing Xu, David Warde - Farley, Sherjil Ozair, Aaron C
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a041cc57-0e9b-4e95-abc8-7d60ee3f6921 · outbound
This paper cites Reuse and diffuse: Iterative denoising for text-to-video generation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Reuse and diffuse: Iterative denoising for text-to-video generation
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b207e414-23cb-43d5-bb8e-1c712594b95e · outbound
This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 810337a5-9132-425a-aa89-5729f1b05846 · outbound
This paper cites Latent video diffusion models for high-fidelity long video generation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Latent video diffusion models for high-fidelity long video generation
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 64c83a2f-c472-4c9d-8eac-287775d9d7bd · outbound
This paper cites Denoising diffusion probabilistic models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Denoising diffusion probabilistic models
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b81370dd-2ee4-4b76-b0db-0bcc4d30fb0a · outbound
This paper cites Gritsenko, Diederik P.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Gritsenko, Diederik P
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a4f7e2c8-3c8a-49ca-8b5e-c8e0959e025e · outbound
This paper cites Gritsenko, William Chan, Mohammad Norouzi, and David J.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Gritsenko, William Chan, Mohammad Norouzi, and David J
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d92ec8a5-8eef-4474-a60a-9c06be531011 · outbound
This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Cogvideo: Large-scale pretraining for text-to-video generation via transformers
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.617900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a53fd1ea-93ee-4dc0-9d3a-530709447f82 · outbound
This paper cites Learning to decompose and disentangle representations for video prediction.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Learning to decompose and disentangle representations for video prediction
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c4bf7873-6fcc-4f79-b5f3-be5ee5911b9f · outbound
This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9ad8aea7-8e01-4adf-98ee-dec20bff13a7 · outbound
This paper cites Tag2text: Guiding vision-language model via image tagging.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Tag2text: Guiding vision-language model via image tagging
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 30e69970-9b70-4074-8934-6ac112befd29 · outbound
This paper cites VBench : Comprehensive benchmark suite for video generative models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise VBench : Comprehensive benchmark suite for video generative models
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1c60dbe6-325d-4aee-be80-7795f1b9d89d · outbound
This paper cites Elucidating the design space of diffusion-based generative models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Elucidating the design space of diffusion-based generative models
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90cd8f65-7da6-4b95-829e-7b7afaeea6cc · outbound
This paper cites Musiq: Multi-scale image quality transformer.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Musiq: Multi-scale image quality transformer
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3068c8de-1c00-4cf4-9c9d-3386e9101f03 · outbound
This paper cites Kingma and Max Welling.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Kingma and Max Welling
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19fc511e-7299-482f-8b3b-5284502677b6 · outbound
This paper cites aesthetic-predictor, 2022.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise aesthetic-predictor, 2022
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d528cc6d-5a4e-46c1-9518-43b8feb032f5 · outbound
This paper cites Unmasked teacher: Towards training-efficient video foundation models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Unmasked teacher: Towards training-efficient video foundation models
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3bf327b2-bb7d-4653-b9fd-84949bc0e0d2 · outbound
This paper cites Amt: All-pairs multi-field transforms for efficient frame interpolation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Amt: All-pairs multi-field transforms for efficient frame interpolation
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 45d89ff2-eb3d-4338-8527-8fcb92985647 · outbound
This paper cites Common diffusion noise schedules and sample steps are flawed.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Common diffusion noise schedules and sample steps are flawed
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 21bd2246-c1d7-4c21-91aa-804f4857cb55 · outbound
This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Reference 30
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- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 01217a2e-5f33-476d-8be3-cb57ba8b7a46 · outbound
This paper cites Videofusion: Decomposed diffusion models for high-quality video generation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Videofusion: Decomposed diffusion models for high-quality video generation
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 352ad8a0-3ce4-4963-94dc-f57901e59fa5 · outbound
This paper cites The lottery ticket hypothesis in denoising: Towards semantic-driven initialization.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise The lottery ticket hypothesis in denoising: Towards semantic-driven initialization
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 217920ee-44dc-4710-a8d5-343ffce825dd · outbound
This paper cites GLIDE: towards photorealistic image generation and editing with text-guided diffusion models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise GLIDE: towards photorealistic image generation and editing with text-guided diffusion models
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8ed51f52-c8de-440a-935c-1afc53e9b36c · outbound
This paper cites Freenoise: Tuning-free longer video diffusion via noise rescheduling.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Freenoise: Tuning-free longer video diffusion via noise rescheduling
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation a259bb4b-3c5d-4587-89e1-b5bfa9cd29f4 · outbound
This paper cites Learning transferable visual models from natural language supervision.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Learning transferable visual models from natural language supervision
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69a7dfa4-13bc-4c02-8f81-b7b8bd3545da · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise High-resolution image synthesis with latent diffusion models
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec09d0f1-af2a-4be0-bacf-3ae4fe9adfe2 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise U-net: Convolutional networks for biomedical image segmentation
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f114ce31-ac88-42af-93fe-9ed0e1958b1d · outbound
This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e08d75cd-b2e5-4d18-a2ca-33730482e5c3 · outbound
This paper cites Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 613756d5-de89-4e91-873f-0c665ff1a05c · outbound
This paper cites Progressive distillation for fast sampling of diffusion models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Progressive distillation for fast sampling of diffusion models
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f18c478b-8f3b-47a7-95ad-65cfa79a8a6f · outbound
This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.319031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e0837dae-fc8a-4fce-82da-ad859142e367 · outbound
This paper cites Make-a-video: Text-to-video generation without text-video data.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Make-a-video: Text-to-video generation without text-video data
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.302779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 20a78db8-2785-405c-b8bc-0117eb773900 · outbound
This paper cites Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.286821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 64aa3115-ffd2-4a33-b8b8-0b5da4d0c6cd · outbound
This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Deep unsupervised learning using nonequilibrium thermodynamics
Reference 44
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aff59bf1-543a-4422-a556-a32b40c9c4c2 · outbound
This paper cites Denoising diffusion implicit models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Denoising diffusion implicit models
Reference 45
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b3b040d-4efd-4abe-8da2-159f26017462 · outbound
This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.253346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c20c4932-af1c-4ab0-90fe-da859ba8a819 · outbound
This paper cites Consistency models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Consistency models
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.239606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b808079e-991c-4f08-8fe3-ee1758cb769b · outbound
This paper cites RAFT: recurrent all-pairs field transforms for optical flow.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise RAFT: recurrent all-pairs field transforms for optical flow
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.226037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 44b938d6-06cd-40a0-9d96-bcb127f6a29c · outbound
This paper cites Metaxas, and Sergey Tulyakov.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Metaxas, and Sergey Tulyakov
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.212045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4aa0b1c5-dc6d-41d5-9a21-1d8a31a997b3 · outbound
This paper cites Visualizing data using t-sne.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Visualizing data using t-sne
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1033e2f5-d55a-436b-ad00-addce8dc2b78 · outbound
This paper cites MCVD - masked conditional video diffusion for prediction, generation, and interpolation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise MCVD - masked conditional video diffusion for prediction, generation, and interpolation
Reference 51
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 38463556-2469-4554-be7a-a02924d58adc · outbound
This paper cites Modelscope text-to-video technical report.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Modelscope text-to-video technical report
Reference 52
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dfb759b8-86f3-4fb5-9e57-7a19987bb108 · outbound
This paper cites Internvid: A large-scale video-text dataset for multimodal understanding and generation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Internvid: A large-scale video-text dataset for multimodal understanding and generation
Reference 53
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7cbf07e5-3066-4c62-bc1d-7d5dd5af7d6f · outbound
This paper cites GODIVA: generating open-domain videos from natural descriptions.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise GODIVA: generating open-domain videos from natural descriptions
Reference 54
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5038b141-179e-43d3-a33e-85a35c79ecfb · outbound
This paper cites N \" u wa: Visual synthesis pre-training for neural visual world creation.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise N \" u wa: Visual synthesis pre-training for neural visual world creation
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2e6f9f40-54b8-4adb-92a0-8a80104d29bf · outbound
This paper cites Grit: A generative region-to-text transformer for object understanding.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Grit: A generative region-to-text transformer for object understanding
Reference 56
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e30b019d-a591-4613-95b4-6ab3b4922b5d · outbound
This paper cites Freeinit: Bridging initialization gap in video diffusion models.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Freeinit: Bridging initialization gap in video diffusion models
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:39:20.091056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 77a417a7-9abb-4519-bb3a-f2b147fc6b8b · outbound
This paper cites write newline.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise write newline
Reference 58
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 820bd01c-4d84-4ed8-8343-9e4892e242cd · outbound
This paper cites @esa (Ref.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise @esa (Ref
Reference 59
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e3b79ea-5147-478d-a25e-9a235748fa88 · outbound
This paper cites an unresolved cited work.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Unresolved cited work
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63088f67-6d0e-45f4-887b-d0da61f2fdcc · outbound
This paper cites a cat sleeping in a bowl.
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise a cat sleeping in a bowl
Reference 61
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 6ab344b1-25ea-4218-a538-c38ef68b6ecd · inbound
StrideDiffusion: Accelerating Diffusion Models for Time-series Generation cites this paper.
StrideDiffusion: Accelerating Diffusion Models for Time-series Generation FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.