Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video | Paper Citation Record

Observation b3d2fe4b-137e-4cad-b2e4-86a519fa0b96 · outbound

This paper cites Emergence of in- variance and disentanglement in deep representations.The Journal of Machine Learning Research, 19(1):1947–1980,.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Emergence of in- variance and disentanglement in deep representations.The Journal of Machine Learning Research, 19(1):1947–1980,

Reference 1

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Observation 339c0bf8-6745-4aac-82de-512cda9eeb5b · outbound

This paper cites LRS3-TED: a large-scale dataset for visual speech recognition.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video LRS3-TED: a large-scale dataset for visual speech recognition

Reference 2

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Observation 176ac107-65d7-4870-88f5-82a4ff7d9531 · outbound

This paper cites Deep Variational Information Bottleneck.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Deep Variational Information Bottleneck

Reference 3

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Observation f358c909-a9a3-40c7-8130-9d129917742f · outbound

This paper cites vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations

Reference 4

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Observation c8754dd5-0333-4293-a1aa-ab733e27f642 · outbound

This paper cites Con- trastively disentangled sequential variational autoencoder.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Con- trastively disentangled sequential variational autoencoder

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.229668Z

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Observation 20e748f4-9b94-455f-bbad-d9bd9f825113 · outbound

This paper cites Multifactor Sequential Disentanglement via Structured Koopman Autoencoders.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Multifactor Sequential Disentanglement via Structured Koopman Autoencoders

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-04T20:45:00.713886Z

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Observation de86d914-4d0a-48dd-b670-10a2f1f27d10 · outbound

This paper cites Sequential disentanglement by extracting static information from a single sequence element.arXiv preprint arXiv:2406.18131, 2024.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Sequential disentanglement by extracting static information from a single sequence element.arXiv preprint arXiv:2406.18131, 2024

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-08-04T20:45:00.701740Z

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Observation 73e9f7fd-319f-4328-bb41-a53466d4c0de · outbound

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

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.220646Z

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Observation b3ce3522-5d8e-4090-837b-0088d8923cb3 · outbound

This paper cites Hyperreenact: One-shot reenactment via jointly learning to refine and re- target faces.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Hyperreenact: One-shot reenactment via jointly learning to refine and re- target faces

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.211345Z

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Observation 70f5d5ea-f248-4cd3-b662-e7d52ff9eecf · outbound

This paper cites Video generation models as world simulators.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Video generation models as world simulators

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.415445Z

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Observation 2bb72392-0bb5-4a9b-919c-2cef4aa34018 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video A simple framework for contrastive learning of visual representations

Reference 11

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Observation b87743df-5568-4186-bbb6-fb1839a28052 · outbound

This paper cites John Wiley & Sons, 1999.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video John Wiley & Sons, 1999

Reference 12

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Observation b715efbc-f76b-4b14-8f0c-1ac7e879d153 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Arcface: Additive angular margin loss for deep face recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.182143Z

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Observation 4e9dfeb7-de44-489c-8ff6-a105ca0a81a9 · outbound

This paper cites Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.157518Z

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Observation fb3c9666-72f8-46a7-a219-1cc77241c2a4 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.428335Z

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Observation 88c1bdb6-a236-43ee-abee-22ebefa460df · outbound

This paper cites Headgan: One-shot neural head synthesis and editing.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Headgan: One-shot neural head synthesis and editing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.115880Z

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Observation a04ce27b-8f09-43d8-ab36-c0da17d58f8d · outbound

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

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Taming transformers for high-resolution image synthesis

Reference 17

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Observation 49aa3b0b-c009-4d71-ad6d-967eb51d2e41 · outbound

This paper cites High-fidelity and freely controllable talking head video generation.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video High-fidelity and freely controllable talking head video generation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.066815Z

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Observation 86275689-670c-4da0-a82c-7f96334106ed · outbound

This paper cites Implicit mo- tion function.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Implicit mo- tion function

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.048407Z

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Observation b0bc3d1d-9095-4073-99d7-3a1ab4fde155 · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.039310Z

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Observation 6f7104ae-6eff-4679-b49b-90443825292c · outbound

This paper cites Neu- ral head avatars from monocular rgb videos.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Neu- ral head avatars from monocular rgb videos

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.030206Z

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Observation ff8efd54-27c6-452e-9ca7-8365de2220cd · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.Advances in neural information processing systems, 33:21271–21284, 2020.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Bootstrap your own latent-a new approach to self-supervised learning.Advances in neural information processing systems, 33:21271–21284, 2020

Reference 22

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Observation 44ade7db-6d7e-4c68-873a-71593b8151d2 · outbound

This paper cites Vec- tor quantized diffusion model for text-to-image synthesis.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Vec- tor quantized diffusion model for text-to-image synthesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:01.014558Z

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Observation bcf74821-70c3-4c65-b0f7-67f2497ff54f · outbound

This paper cites LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control

Reference 24

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Observation 7ead3c4c-078f-4d97-a94e-7aa2969e32be · outbound

This paper cites Disentangled Recurrent Wasserstein Autoencoder.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Disentangled Recurrent Wasserstein Autoencoder

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-04T20:45:00.671223Z

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Observation b29780c0-0c41-4f32-a9f5-e455b60e919c · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Momentum contrast for unsupervised visual rep- resentation learning

Reference 26

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Observation cc1637b3-7c5b-4428-85e8-7e30110622eb · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 27

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Observation b709d873-022d-4fcb-bab2-6a660130f0ab · outbound

This paper cites Look ma, no markers: holistic perfor- mance capture without the hassle.ACM Transactions on Graphics (TOG), 43(6), 2024.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Look ma, no markers: holistic perfor- mance capture without the hassle.ACM Transactions on Graphics (TOG), 43(6), 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.994554Z

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Observation 64d96769-e8ce-4192-8b4c-414f0c53c7fc · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.986140Z

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Observation 94c082b6-9692-404e-8b0d-ff3f2410cad3 · outbound

This paper cites Implicit identity representation conditioned memory compensation network for talking head video generation.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Implicit identity representation conditioned memory compensation network for talking head video generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.977741Z

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Observation 9bd9ac8e-a9e5-4d05-9f0c-3d555b016df5 · outbound

This paper cites Neu- ral compression-based feature learning for video restoration.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Neu- ral compression-based feature learning for video restoration

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.968649Z

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Observation 3ed504cd-42f7-4e60-9833-97acbc02542e · outbound

This paper cites SODA: Bottleneck Diffusion Models for Representation Learning.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video SODA: Bottleneck Diffusion Models for Representation Learning

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-04T20:45:00.658366Z

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Observation 48b15062-8264-467c-821b-010c7e25f131 · outbound

This paper cites Dis- entangled feature learning for real-time neural speech cod- ing.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Dis- entangled feature learning for real-time neural speech cod- ing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.959832Z

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Observation bbbdfc4e-e55d-40d0-a69b-fa9f73034fcc · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in Neural Information Processing Sys- tems, 35:26565–26577, 2022.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Elucidating the design space of diffusion-based generative models.Advances in Neural Information Processing Sys- tems, 35:26565–26577, 2022

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.950778Z

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Observation 1beb5af6-5393-4386-ab3d-b7f890b1aa37 · outbound

This paper cites Deep contextual video com- pression.Advances in Neural Information Processing Sys- tems, 34:18114–18125, 2021.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Deep contextual video com- pression.Advances in Neural Information Processing Sys- tems, 34:18114–18125, 2021

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.941726Z

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Observation 0647afbd-ee36-4294-a2e9-db02df80d2a2 · outbound

This paper cites Hybrid spatial-temporal en- tropy modelling for neural video compression.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Hybrid spatial-temporal en- tropy modelling for neural video compression

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.932611Z

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Observation 77b4db0a-4aca-41d5-a7ad-1549fc582590 · outbound

This paper cites Neural video compression with diverse contexts.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Neural video compression with diverse contexts

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.923240Z

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Observation 8db2abca-719e-4ffa-a2f8-3a41cd3ed4df · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 38

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Observation daff29dc-a889-453b-8aff-de3e3b308a8d · outbound

This paper cites Motion-focused contrastive learning of video representations.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Motion-focused contrastive learning of video representations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.914474Z

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Observation 209ba1d1-a78d-4e50-a545-22f8de9a3053 · outbound

This paper cites Return of Unconditional Generation: A Self-supervised Representation Generation Method.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Return of Unconditional Generation: A Self-supervised Representation Generation Method

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.492768Z

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Observation 6983b08e-cd67-4bab-b698-8fee569afcba · outbound

This paper cites Disentangled Sequential Autoencoder.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Disentangled Sequential Autoencoder

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.495406Z

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Observation c087c444-9eb8-41a3-b8a4-f48e1bf50842 · outbound

This paper cites Anitalker: animate vivid and di- verse talking faces through identity-decoupled facial motion encoding.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Anitalker: animate vivid and di- verse talking faces through identity-decoupled facial motion encoding

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.905789Z

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Observation 46a7caf5-e4e9-4048-b0b2-df716ddefb6a · outbound

This paper cites Decoupled Weight Decay Regularization.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Decoupled Weight Decay Regularization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.500592Z

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Observation 2961290c-86bc-4dfb-bb57-e2d2afee2176 · outbound

This paper cites Implicit warping for animation with image sets.Advances in Neural Information Processing Systems, 35:22438–22450, 2022.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Implicit warping for animation with image sets.Advances in Neural Information Processing Systems, 35:22438–22450, 2022

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.896743Z

Source-reported events for the cited work

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Observation 1a5cc352-2b5e-4a1b-9eb5-47416e825300 · outbound

This paper cites Sample and predict your latent: modality-free sequential disentan- glement via contrastive estimation.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Sample and predict your latent: modality-free sequential disentan- glement via contrastive estimation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.887939Z

Source-reported events for the cited work

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Observation 4cf92cb0-e99f-4eea-90d8-d530ade0e742 · outbound

This paper cites Scalable diffusion models with transformers.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Scalable diffusion models with transformers

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.507990Z

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Observation bccd00af-3f1f-4671-abb2-1cbe3714043b · outbound

This paper cites BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.510559Z

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Observation b3b02db2-c1a0-43d9-b520-0c1210ba4ca7 · outbound

This paper cites Language models are unsu- pervised multitask learners.OpenAI blog, 1(8):9, 2019.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Language models are unsu- pervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.873180Z

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Observation 5bc423be-4c77-4d2f-a436-9e3dc23ac74f · outbound

This paper cites an unresolved cited work.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.515665Z

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Observation 674dd3b9-d95f-4808-b7c0-ed6286fe2915 · outbound

This paper cites Deep visual analogy-making.Advances in neural informa- tion processing systems, 28, 2015.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Deep visual analogy-making.Advances in neural informa- tion processing systems, 28, 2015

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.856960Z

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Observation 1e3365b7-6ffa-4f63-ba65-c965aef37c9d · outbound

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

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video High-resolution image synthesis with latent diffusion models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.520776Z

Source-reported events for the cited work

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Observation 5860d4c5-2bfb-4557-ab95-6b51ee07dc49 · outbound

This paper cites Temporal context mining for learned video compression.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Temporal context mining for learned video compression

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.841937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f425ff5-c232-4608-96bb-c7eea3a9a316 · outbound

This paper cites First order motion model for image animation.Advances in neural information processing systems, 32, 2019.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video First order motion model for image animation.Advances in neural information processing systems, 32, 2019

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.832906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4696cc0b-b4d9-4315-b298-6c1caf427c42 · outbound

This paper cites Sequential representation learning via static- dynamic conditional disentanglement.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Sequential representation learning via static- dynamic conditional disentanglement

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.824126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb1e53ab-5faf-40eb-a054-d59259d2bb16 · outbound

This paper cites The information bottleneck method.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video The information bottleneck method

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.530551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0233383-231b-422f-b2c6-26a17a180104 · outbound

This paper cites Neural discrete representation learning.Advances in neural information pro- cessing systems, 30, 2017.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Neural discrete representation learning.Advances in neural information pro- cessing systems, 30, 2017

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.533176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fcc528c-460b-4999-bc8e-573478ae28a0 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.535702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa47434a-3805-47b8-a268-411b6ddb71bc · outbound

This paper cites One-shot free-view neural talking-head synthesis for video conferenc- ing.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video One-shot free-view neural talking-head synthesis for video conferenc- ing

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.803471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a5a988b9-9fd0-4478-b2c3-d71c924ba1c3 · outbound

This paper cites Latent image animator: Learning to animate im- ages via latent space navigation.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Latent image animator: Learning to animate im- ages via latent space navigation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.794245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5124988f-ff46-4de7-91b5-3b70bb00a2d0 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.543485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54cf12a0-594e-42a3-91f4-5092bc7bf123 · outbound

This paper cites Fake it till you make it: face analysis in the wild using synthetic data alone.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Fake it till you make it: face analysis in the wild using synthetic data alone

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.784700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 824f66db-771b-4ec6-8bf0-586e645ffb66 · outbound

This paper cites 3d face reconstruction with dense landmarks.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video 3d face reconstruction with dense landmarks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.775361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d1e3b02f-0a02-47b6-9958-b33230548775 · outbound

This paper cites N ¨uwa: Visual synthesis pre- training for neural visual world creation.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video N ¨uwa: Visual synthesis pre- training for neural visual world creation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.766313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d1743a51-6937-4a2c-9b35-75071861155c · outbound

This paper cites Simmim: A simple framework for masked image modeling.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video Simmim: A simple framework for masked image modeling

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.756997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 566023bf-bb8c-44a6-95c0-bcc90c273c38 · outbound

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

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:00.556081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adf97a62-aeaa-42a2-86dd-17dcf09a051d · outbound

This paper cites S3vae: Self-supervised sequential vae for representation disentanglement and data generation.

Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video S3vae: Self-supervised sequential vae for representation disentanglement and data generation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:00.747761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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