Factorized Video Autoencoders for Efficient Generative Modelling | Paper Citation Record

Observation fa86f80b-4a93-4938-b98c-d8b03c60c694 · outbound

This paper cites Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.

Factorized Video Autoencoders for Efficient Generative Modelling Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation

Reference 1

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Observation 6381c8a7-b767-4739-9705-e4a0a24b720e · outbound

This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.

Factorized Video Autoencoders for Efficient Generative Modelling Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 2

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Observation c7633e65-5254-4364-85a8-a7e2253132b1 · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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Observation a7104834-8ac7-419b-b46b-34f49acab452 · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

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Observation 252db8f1-7a76-4f7d-9459-7364a68e970f · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 5

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Observation 292a12cb-914f-4042-8834-1a702a8f5ff3 · outbound

This paper cites A short note about kinetics-.

Factorized Video Autoencoders for Efficient Generative Modelling A short note about kinetics-

Reference 6

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Observation 0da9b74b-b9b5-4420-bfa9-41350f215fa6 · outbound

This paper cites Tensorf: Tensorial radiance fields.

Factorized Video Autoencoders for Efficient Generative Modelling Tensorf: Tensorial radiance fields

Reference 7

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Observation 4d548e13-3cf5-4307-aa7d-a1ed5689ff5b · outbound

This paper cites Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

Factorized Video Autoencoders for Efficient Generative Modelling Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 8

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Observation 919f90c8-9b29-4470-bcb4-e15df0c00b7a · outbound

This paper cites 3d u-net: learn- ing dense volumetric segmentation from sparse annota- tion.

Factorized Video Autoencoders for Efficient Generative Modelling 3d u-net: learn- ing dense volumetric segmentation from sparse annota- tion

Reference 9

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Observation 056dffed-8d84-4955-a67b-df1451abfcd8 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Factorized Video Autoencoders for Efficient Generative Modelling Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 10

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Observation 8ef58888-fdd5-49b2-81e1-ad6428c58a03 · outbound

This paper cites Ldmvfi: Video frame interpolation with latent diffusion models.

Factorized Video Autoencoders for Efficient Generative Modelling Ldmvfi: Video frame interpolation with latent diffusion models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.962108Z

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Observation 8946269b-0a5f-4905-97bb-429daa074e00 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Factorized Video Autoencoders for Efficient Generative Modelling Diffusion models beat gans on image synthesis

Reference 12

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Observation 915a0a3d-2d8e-47db-ba08-c64866abea16 · outbound

This paper cites Video frame interpolation: A comprehensive survey.

Factorized Video Autoencoders for Efficient Generative Modelling Video frame interpolation: A comprehensive survey

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.932701Z

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Observation 4c1312d8-7e09-4380-b4ed-1010ae77c4a9 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Factorized Video Autoencoders for Efficient Generative Modelling Taming transformers for high-resolution image synthesis

Reference 14

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Observation d6d89e8b-9947-4e00-ae07-5eaec08b4dce · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Factorized Video Autoencoders for Efficient Generative Modelling Cosmos World Foundation Model Platform for Physical AI

Reference 15

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Observation 680b2c94-eb65-4f5b-aa50-da2e203ccc21 · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance.

Factorized Video Autoencoders for Efficient Generative Modelling K-planes: Explicit radiance fields in space, time, and appearance

Reference 16

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Observation ec7def8e-cb2a-45f5-80aa-6db2cea31c5e · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.687129Z

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Observation ada504c2-6454-43ac-9c76-7cd4c02c325c · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.692294Z

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Observation ddd0a472-6b8d-4915-97ba-73361a3e8439 · outbound

This paper cites Photorealistic video generation with diffusion models, 2023.

Factorized Video Autoencoders for Efficient Generative Modelling Photorealistic video generation with diffusion models, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.892252Z

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Observation 3e6476b8-a059-42c3-99b7-b13be2bf68a2 · outbound

This paper cites Latent video diffusion models for high-fidelity long video generation.

Factorized Video Autoencoders for Efficient Generative Modelling Latent video diffusion models for high-fidelity long video generation

Reference 20

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Observation 3c6490a1-daed-47ad-8345-694d17d96753 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Factorized Video Autoencoders for Efficient Generative Modelling Denoising dif- fusion probabilistic models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.863702Z

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Observation 801cfd4f-9a6a-458c-a650-270d12715f80 · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling Imagen Video: High Definition Video Generation with Diffusion Models

Reference 22

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Observation 78898a73-5e60-4ba1-9608-794b6c61d323 · outbound

This paper cites Video dif- fusion models.

Factorized Video Autoencoders for Efficient Generative Modelling Video dif- fusion models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.848158Z

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Observation 1b856818-4376-43aa-bc60-d19b3f88d29a · outbound

This paper cites sim- ple diffusion: End-to-end diffusion for high resolution im- ages.

Factorized Video Autoencoders for Efficient Generative Modelling sim- ple diffusion: End-to-end diffusion for high resolution im- ages

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.831083Z

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Observation 9362dd53-fa6a-4d1f-9d57-cec8d5f3bce2 · outbound

This paper cites Real-time intermediate flow estimation for video frame interpolation.

Factorized Video Autoencoders for Efficient Generative Modelling Real-time intermediate flow estimation for video frame interpolation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.812209Z

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Observation 976a8bc2-a48b-481e-b797-9d52053868cd · outbound

This paper cites Scalable Adaptive Computation for Iterative Generation.

Factorized Video Autoencoders for Efficient Generative Modelling Scalable Adaptive Computation for Iterative Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.733845Z

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Observation c8ce54be-f3a3-4d1f-8a32-23131d49d0ae · outbound

This paper cites Video inter- polation with diffusion models.

Factorized Video Autoencoders for Efficient Generative Modelling Video inter- polation with diffusion models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.795613Z

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Observation 19eada01-7cd1-459b-bd51-37fe7aea1571 · outbound

This paper cites Video interpolation with diffu- sion models.

Factorized Video Autoencoders for Efficient Generative Modelling Video interpolation with diffu- sion models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.776767Z

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Observation ed0cd23e-6710-42dc-96e3-cac0cbe6b52c · outbound

This paper cites Benchmarking Video Frame Interpolation.

Factorized Video Autoencoders for Efficient Generative Modelling Benchmarking Video Frame Interpolation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.749078Z

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Observation 16e0ded2-3661-43db-b8a3-d3bd1ae3457d · outbound

This paper cites Hybrid video diffusion models with 2d triplane and 3d wavelet rep- resentation.

Factorized Video Autoencoders for Efficient Generative Modelling Hybrid video diffusion models with 2d triplane and 3d wavelet rep- resentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.759875Z

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Observation d67c5c52-ba39-4c39-a17b-f81b38f57dc1 · outbound

This paper cites Auto-Encoding Variational Bayes.

Factorized Video Autoencoders for Efficient Generative Modelling Auto-Encoding Variational Bayes

Reference 31

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Observation bcf71a2e-c152-455f-b5f9-b1154d11911f · outbound

This paper cites Semcity: Semantic scene gener- ation with triplane diffusion.

Factorized Video Autoencoders for Efficient Generative Modelling Semcity: Semantic scene gener- ation with triplane diffusion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.742631Z

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Observation 4d88f02c-cbb5-42d7-93c8-b30f7f7bf6c8 · outbound

This paper cites Amt: All-pairs multi-field transforms for efficient frame interpolation.

Factorized Video Autoencoders for Efficient Generative Modelling Amt: All-pairs multi-field transforms for efficient frame interpolation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.771423Z

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Observation e20f972a-40a2-4087-8ac8-b9f900513c40 · outbound

This paper cites WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model.

Factorized Video Autoencoders for Efficient Generative Modelling WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.776579Z

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Observation 80853de7-8dda-4104-adcf-8d6a7741b96a · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

Factorized Video Autoencoders for Efficient Generative Modelling Open-Sora Plan: Open-Source Large Video Generation Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.782354Z

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Observation 58eeaaf1-0466-4cbb-8d24-8f5a961ff568 · outbound

This paper cites Common diffusion noise schedules and sample steps are flawed.

Factorized Video Autoencoders for Efficient Generative Modelling Common diffusion noise schedules and sample steps are flawed

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.715688Z

Source-reported events for the cited work

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Observation 89dd405f-52e9-498f-a10b-eb176716b5ad · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Factorized Video Autoencoders for Efficient Generative Modelling SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.793892Z

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Observation 3b70a688-6960-43da-928f-3946a17155e5 · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling Movie Gen: A Cast of Media Foundation Models

Reference 38

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Observation c779d7a1-778d-4067-961f-066afe942f17 · outbound

This paper cites Gener- ating diverse high-fidelity images with vq-vae-2.

Factorized Video Autoencoders for Efficient Generative Modelling Gener- ating diverse high-fidelity images with vq-vae-2

Reference 39

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Observation 0ee18d90-2f2a-4e4d-8eab-ce93d9dc9c78 · outbound

This paper cites Film: Frame inter- polation for large motion.

Factorized Video Autoencoders for Efficient Generative Modelling Film: Frame inter- polation for large motion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.688919Z

Source-reported events for the cited work

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Observation 0652cc0b-39ec-47ce-9408-5143ba09a015 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021, 2021.

Factorized Video Autoencoders for Efficient Generative Modelling High-resolution image syn- thesis with latent diffusion models, 2021, 2021

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.673254Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 39daf284-1542-433c-bb7e-1efee45d9b3d · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Factorized Video Autoencoders for Efficient Generative Modelling U- net: Convolutional networks for biomedical image segmen- tation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.821864Z

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Observation dd149793-971a-4dd7-bb34-f8035c81d2b3 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Factorized Video Autoencoders for Efficient Generative Modelling Photorealistic text-to-image diffusion models with deep language understanding

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.827317Z

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Observation c24de059-c635-4dea-9e8e-938683fe7d93 · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling Progressive Distillation for Fast Sampling of Diffusion Models

Reference 44

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Observation fc48e18a-a25a-4b4c-8049-058f110e5773 · outbound

This paper cites Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, and Gordon Wetzstein.

Factorized Video Autoencoders for Efficient Generative Modelling Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, and Gordon Wetzstein

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.635684Z

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Observation 01088514-0af1-4035-bf64-2e370a04a4b8 · outbound

This paper cites Denoising Diffusion Implicit Models.

Factorized Video Autoencoders for Efficient Generative Modelling Denoising Diffusion Implicit Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.843325Z

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Observation 172af5ce-4c50-4693-a9c7-856b48ed7dfd · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Factorized Video Autoencoders for Efficient Generative Modelling UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.848635Z

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Observation d46bc2f2-ea24-488c-9762-519615c0e090 · outbound

This paper cites Fvd: A new metric for video generation.

Factorized Video Autoencoders for Efficient Generative Modelling Fvd: A new metric for video generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.854150Z

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Observation d4ebc61a-f597-4bf0-aa69-05b2246b6621 · outbound

This paper cites Neural discrete representation learning.

Factorized Video Autoencoders for Efficient Generative Modelling Neural discrete representation learning

Reference 49

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Observation 52817f95-b4a4-445d-a685-505eb40dbac1 · outbound

This paper cites Attention is all you need.

Factorized Video Autoencoders for Efficient Generative Modelling Attention is all you need

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.865128Z

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Observation 9b1af98f-a6f0-4a51-867e-7489a0ae56f9 · outbound

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

Factorized Video Autoencoders for Efficient Generative Modelling Phenaki: Variable length video generation from open domain textual descriptions

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.586719Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0dbc5c7-6fb3-43ce-a36e-a3d2cadf78d2 · outbound

This paper cites Omnitokenizer: A joint image-video tokenizer for visual generation.

Factorized Video Autoencoders for Efficient Generative Modelling Omnitokenizer: A joint image-video tokenizer for visual generation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.568768Z

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 7f20194b-eaa8-449b-a935-6ab099d44eea · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

Factorized Video Autoencoders for Efficient Generative Modelling Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.880228Z

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Observation acfc32a9-a8e4-4c21-9880-38064b6f6149 · outbound

This paper cites Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape.

Factorized Video Autoencoders for Efficient Generative Modelling Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.885358Z

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Observation f0648488-85b3-4d10-8001-0b30b4e4dd01 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Factorized Video Autoencoders for Efficient Generative Modelling CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.892204Z

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Observation b7a1ad7b-ef8a-4421-beca-78e70988da9a · outbound

This paper cites Magvit: Masked generative video transformer.

Factorized Video Autoencoders for Efficient Generative Modelling Magvit: Masked generative video transformer

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.539734Z

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Observation 3e09ef54-2a39-4041-b5c2-ee92ba68c1e5 · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

Factorized Video Autoencoders for Efficient Generative Modelling Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:03.903667Z

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Observation ef971c59-9385-43bd-8e89-e9c6f5e0118c · outbound

This paper cites Language model beats diffusion - tokenizer is key to visual generation.

Factorized Video Autoencoders for Efficient Generative Modelling Language model beats diffusion - tokenizer is key to visual generation

Reference 58

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Observation a636f1e9-ef7f-48a5-8d75-9d10fbf6c495 · outbound

This paper cites Video probabilistic diffusion models in projected latent space.

Factorized Video Autoencoders for Efficient Generative Modelling Video probabilistic diffusion models in projected latent space

Reference 59

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Observation 221e7fb3-0296-4240-b001-28019e484271 · outbound

This paper cites Video probabilistic diffusion models in projected latent space.

Factorized Video Autoencoders for Efficient Generative Modelling Video probabilistic diffusion models in projected latent space

Reference 60

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Observation d4d32f16-ae4c-44cc-9bc6-61362294856b · outbound

This paper cites Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.

Factorized Video Autoencoders for Efficient Generative Modelling Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition

Reference 61

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This paper cites Cv- vae: A compatible video vae for latent generative video mod- els.

Factorized Video Autoencoders for Efficient Generative Modelling Cv- vae: A compatible video vae for latent generative video mod- els

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:04.477573Z

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Observation 9ef45027-92b3-45df-a3e2-1f450dd6999e · outbound

This paper cites an unresolved cited work.

Factorized Video Autoencoders for Efficient Generative Modelling Unresolved cited work

Reference 65

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Observation e6b022e0-87ef-404b-b8cc-f93dc781bac3 · outbound

This paper cites For the video interpolation task, the autoencoder is 2 trained for 450, 000 iterations with the same batch size of.

Factorized Video Autoencoders for Efficient Generative Modelling For the video interpolation task, the autoencoder is 2 trained for 450, 000 iterations with the same batch size of

Reference 256

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Observation 25b2559b-ba51-4350-9f14-9132c51ec185 · outbound

This paper cites A Short Note about Kinetics-600.

Factorized Video Autoencoders for Efficient Generative Modelling A Short Note about Kinetics-600

Reference 600

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