Compositional Video Synthesis by Temporal Object-Centric Learning | Paper Citation Record

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This paper cites Slamp: Stochastic latent appearance and motion pre- diction.

Compositional Video Synthesis by Temporal Object-Centric Learning Slamp: Stochastic latent appearance and motion pre- diction

Reference 1

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Observation eb8ca687-a7ee-4de6-87da-0115022032ca · outbound

This paper cites Stretchbev: Stretching future instance prediction spatially and temporally.

Compositional Video Synthesis by Temporal Object-Centric Learning Stretchbev: Stretching future instance prediction spatially and temporally

Reference 2

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Observation 1d62f899-9ec3-4a13-b283-b9a7c11f328d · outbound

This paper cites Slot-guided adaptation of pre-trained diffusion models for object-centric learning and compositional generation.

Compositional Video Synthesis by Temporal Object-Centric Learning Slot-guided adaptation of pre-trained diffusion models for object-centric learning and compositional generation

Reference 3

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Observation b98a97f7-cbe1-49a6-a34e-55b60c85acfd · outbound

This paper cites Self- supervised Object-centric Learning for Videos.

Compositional Video Synthesis by Temporal Object-Centric Learning Self- supervised Object-centric Learning for Videos

Reference 4

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This paper cites Systematic generalization: What is required and can it be learned? In Proc.

Compositional Video Synthesis by Temporal Object-Centric Learning Systematic generalization: What is required and can it be learned? In Proc

Reference 5

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Observation 95eb09a6-88ba-4d1d-b393-f1c94fef3206 · outbound

This paper cites Object discovery from motion- guided tokens.

Compositional Video Synthesis by Temporal Object-Centric Learning Object discovery from motion- guided tokens

Reference 6

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Observation 7533f941-d8d2-41d5-915f-96c2da1f9353 · outbound

This paper cites Lumiere: A space-time diffusion model for video generation.

Compositional Video Synthesis by Temporal Object-Centric Learning Lumiere: A space-time diffusion model for video generation

Reference 7

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Observation 904ad9e4-e0ac-4776-8d6f-6d8f52199e08 · outbound

This paper cites Invariant slot attention: Object discovery with slot-centric reference frames.

Compositional Video Synthesis by Temporal Object-Centric Learning Invariant slot attention: Object discovery with slot-centric reference frames

Reference 8

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Observation 564176c5-8881-49e7-bf47-90de864fcdac · outbound

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

Compositional Video Synthesis by Temporal Object-Centric Learning Align your latents: High-resolution video synthesis with latent diffusion models

Reference 9

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Observation 7a2ab687-3873-4bdf-a200-01ed3cfdfe65 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Compositional Video Synthesis by Temporal Object-Centric Learning Emerging properties in self-supervised vision transformers

Reference 10

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Observation 707f5e7d-a837-45ad-96ec-57af4f0a52be · outbound

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

Compositional Video Synthesis by Temporal Object-Centric Learning Pixart-α: Fast training of diffusion trans- former for photorealistic text-to-image synthesis

Reference 11

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Observation 59be87bd-7ec8-4363-b3bc-ad85fe3548b2 · outbound

This paper cites Vision transformers need registers.

Compositional Video Synthesis by Temporal Object-Centric Learning Vision transformers need registers

Reference 12

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Observation 9d9630db-6022-4695-9b67-8a9adce56d21 · outbound

This paper cites Diffusion models beat GANs on image synthesis.

Compositional Video Synthesis by Temporal Object-Centric Learning Diffusion models beat GANs on image synthesis

Reference 13

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This paper cites Betrayed by attention: A simple yet ef- fective approach for self-supervised video object segmenta- tion.

Compositional Video Synthesis by Temporal Object-Centric Learning Betrayed by attention: A simple yet ef- fective approach for self-supervised video object segmenta- tion

Reference 14

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Observation 74e803c0-7c62-43c1-b6b8-4245ad24607d · outbound

This paper cites SAVi++: Towards end-to-end object-centric learning from real-world videos.

Compositional Video Synthesis by Temporal Object-Centric Learning SAVi++: Towards end-to-end object-centric learning from real-world videos

Reference 15

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This paper cites Attend, infer, re- peat: Fast scene understanding with generative models.

Compositional Video Synthesis by Temporal Object-Centric Learning Attend, infer, re- peat: Fast scene understanding with generative models

Reference 16

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Observation 29f9374a-5e7b-447c-a0ca-b79e2474428c · outbound

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

Compositional Video Synthesis by Temporal Object-Centric Learning Scaling rectified flow transformers for high-resolution image synthesis

Reference 17

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Observation e848e0dd-2fde-4e9c-9db3-7ee48f205314 · outbound

This paper cites The PASCAL visual object classes (VOC) challenge.

Compositional Video Synthesis by Temporal Object-Centric Learning The PASCAL visual object classes (VOC) challenge

Reference 18

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This paper cites Connectionism and cognitive architecture: A critical analysis.

Compositional Video Synthesis by Temporal Object-Centric Learning Connectionism and cognitive architecture: A critical analysis

Reference 19

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Observation 534e61bc-8442-41ee-9984-7d04bdbb1073 · outbound

This paper cites Understanding the diffi- culty of training deep feedforward neural networks.

Compositional Video Synthesis by Temporal Object-Centric Learning Understanding the diffi- culty of training deep feedforward neural networks

Reference 20

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This paper cites Multi-object representation learning with iterative variational inference.

Compositional Video Synthesis by Temporal Object-Centric Learning Multi-object representation learning with iterative variational inference

Reference 21

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Observation 58c9c3fa-53e4-411f-a45c-a0f2267e8589 · outbound

This paper cites On the Binding Problem in Artificial Neural Networks.

Compositional Video Synthesis by Temporal Object-Centric Learning On the Binding Problem in Artificial Neural Networks

Reference 22

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This paper cites Gans trained by a two time-scale update rule converge to a local nash equi- librium.

Compositional Video Synthesis by Temporal Object-Centric Learning Gans trained by a two time-scale update rule converge to a local nash equi- librium

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.648983Z

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This paper cites Denoising diffu- sion probabilistic models.

Compositional Video Synthesis by Temporal Object-Centric Learning Denoising diffu- sion probabilistic models

Reference 24

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

Compositional Video Synthesis by Temporal Object-Centric Learning Imagen Video: High Definition Video Generation with Diffusion Models

Reference 25

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This paper cites Video dif- fusion models.

Compositional Video Synthesis by Temporal Object-Centric Learning Video dif- fusion models

Reference 26

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This paper cites Object-centric slot diffusion.

Compositional Video Synthesis by Temporal Object-Centric Learning Object-centric slot diffusion

Reference 27

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This paper cites CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning.

Compositional Video Synthesis by Temporal Object-Centric Learning CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning

Reference 28

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This paper cites ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation.

Compositional Video Synthesis by Temporal Object-Centric Learning ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

Reference 29

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This paper cites Con- ditional object-centric learning from video.

Compositional Video Synthesis by Temporal Object-Centric Learning Con- ditional object-centric learning from video

Reference 30

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This paper cites Sequential attend, infer, repeat: Generative mod- elling of moving objects.

Compositional Video Synthesis by Temporal Object-Centric Learning Sequential attend, infer, repeat: Generative mod- elling of moving objects

Reference 31

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This paper cites Structured object-aware physics prediction for video modeling and planning.

Compositional Video Synthesis by Temporal Object-Centric Learning Structured object-aware physics prediction for video modeling and planning

Reference 32

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This paper cites Hierarchical compact clustering attention (coca) for unsupervised object-centric learning.

Compositional Video Synthesis by Temporal Object-Centric Learning Hierarchical compact clustering attention (coca) for unsupervised object-centric learning

Reference 33

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Compositional Video Synthesis by Temporal Object-Centric Learning Unresolved cited work

Reference 34

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This paper cites Building machines that learn and think like people.

Compositional Video Synthesis by Temporal Object-Centric Learning Building machines that learn and think like people

Reference 35

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Compositional Video Synthesis by Temporal Object-Centric Learning Unresolved cited work

Reference 36

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This paper cites Microsoft COCO: Common objects in context.

Compositional Video Synthesis by Temporal Object-Centric Learning Microsoft COCO: Common objects in context

Reference 37

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This paper cites Improving generative imagination in object-centric world models.

Compositional Video Synthesis by Temporal Object-Centric Learning Improving generative imagination in object-centric world models

Reference 38

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This paper cites Object- centric learning with slot attention.

Compositional Video Synthesis by Temporal Object-Centric Learning Object- centric learning with slot attention

Reference 39

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This paper cites Decoupled weight decay regularization.

Compositional Video Synthesis by Temporal Object-Centric Learning Decoupled weight decay regularization

Reference 40

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This paper cites Temporally consistent object-centric learning by contrasting slots.

Compositional Video Synthesis by Temporal Object-Centric Learning Temporally consistent object-centric learning by contrasting slots

Reference 41

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This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to- image diffusion models.

Compositional Video Synthesis by Temporal Object-Centric Learning T2i-adapter: Learning adapters to dig out more controllable ability for text-to- image diffusion models

Reference 42

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This paper cites Segmentation of moving objects by long term video analysis.

Compositional Video Synthesis by Temporal Object-Centric Learning Segmentation of moving objects by long term video analysis

Reference 43

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This paper cites Dinov2: Learning robust visual features without supervision.

Compositional Video Synthesis by Temporal Object-Centric Learning Dinov2: Learning robust visual features without supervision

Reference 44

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This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

Compositional Video Synthesis by Temporal Object-Centric Learning A benchmark dataset and evaluation methodology for video object segmentation

Reference 45

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This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

Compositional Video Synthesis by Temporal Object-Centric Learning Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.476532Z

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This paper cites Rethinking image-to-video adaptation: An object-centric perspective.

Compositional Video Synthesis by Temporal Object-Centric Learning Rethinking image-to-video adaptation: An object-centric perspective

Reference 47

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This paper cites Learning transferable visual models from natural language supervision.

Compositional Video Synthesis by Temporal Object-Centric Learning Learning transferable visual models from natural language supervision

Reference 48

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Observation 9b7f2095-64c9-4937-bfd2-2b70c1e364d3 · outbound

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

Compositional Video Synthesis by Temporal Object-Centric Learning Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 49

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

Compositional Video Synthesis by Temporal Object-Centric Learning High-resolution image synthesis with latent diffusion models

Reference 50

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This paper cites Photorealistic text-to-image JOURNAL OF LATEX CLASS FILES, VOL.

Compositional Video Synthesis by Temporal Object-Centric Learning Photorealistic text-to-image JOURNAL OF LATEX CLASS FILES, VOL

Reference 51

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This paper cites Toward causal representation learning.

Compositional Video Synthesis by Temporal Object-Centric Learning Toward causal representation learning

Reference 52

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Observation 79c76354-ae9d-4e40-8cb6-4c0501799db6 · outbound

This paper cites Bridging the gap to real-world object-centric learning.

Compositional Video Synthesis by Temporal Object-Centric Learning Bridging the gap to real-world object-centric learning

Reference 53

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Observation 3ab10f8a-824f-47d9-91f1-a7c1d2ab0205 · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

Compositional Video Synthesis by Temporal Object-Centric Learning Make-a-video: Text-to-video generation without text-video data

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.422188Z

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Observation 8a7ca348-9b49-46d5-8aa7-70c0098f49b6 · outbound

This paper cites Illiterate dall- e learns to compose.

Compositional Video Synthesis by Temporal Object-Centric Learning Illiterate dall- e learns to compose

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.414080Z

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This paper cites Simple unsu- pervised object-centric learning for complex and natural- istic videos.

Compositional Video Synthesis by Temporal Object-Centric Learning Simple unsu- pervised object-centric learning for complex and natural- istic videos

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.406073Z

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Observation 425ccc73-ca74-4252-bcb6-d1e1c1ad69e4 · outbound

This paper cites Guided latent slot diffusion for object-centric learning.

Compositional Video Synthesis by Temporal Object-Centric Learning Guided latent slot diffusion for object-centric learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.398611Z

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Observation 7ac35c2b-f2d0-487e-bede-3d8421ad2798 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Compositional Video Synthesis by Temporal Object-Centric Learning Deep unsupervised learning using nonequilibrium thermodynamics

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.390287Z

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Observation bd9ce06d-2791-4be4-8d9d-68151011e5e9 · outbound

This paper cites Core knowl- edge.

Compositional Video Synthesis by Temporal Object-Centric Learning Core knowl- edge

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.382246Z

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Observation b0fbe04d-6cdf-42a2-a350-706fcfb4e2c0 · outbound

This paper cites Mind games: Game engines as an architecture for intuitive physics.

Compositional Video Synthesis by Temporal Object-Centric Learning Mind games: Game engines as an architecture for intuitive physics

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.375066Z

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Observation af1b4f84-5a23-4632-aedb-2b80edaab6a8 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Compositional Video Synthesis by Temporal Object-Centric Learning Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 61

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Observation 823ef0a0-2908-4923-874a-54a70b1d1b13 · outbound

This paper cites Attention is all you need.

Compositional Video Synthesis by Temporal Object-Centric Learning Attention is all you need

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.367744Z

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Observation 47df23b6-9d0d-4d93-b779-f07af27600c2 · outbound

This paper cites Phenaki: Variable length video generation from open domain textual descrip- tions.

Compositional Video Synthesis by Temporal Object-Centric Learning Phenaki: Variable length video generation from open domain textual descrip- tions

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.360071Z

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Observation df72c4e7-c5a8-41bf-b7c3-552be28f8323 · outbound

This paper cites Videocomposer: Compositional video syn- thesis with motion controllability.

Compositional Video Synthesis by Temporal Object-Centric Learning Videocomposer: Compositional video syn- thesis with motion controllability

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.352046Z

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Observation edcc823e-9d61-4eba-8783-04ba52c8c529 · outbound

This paper cites Bovik, Hamid R.

Compositional Video Synthesis by Temporal Object-Centric Learning Bovik, Hamid R

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.344281Z

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Observation ee08bb91-16ae-485c-939d-fdc14c5731c6 · outbound

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

Compositional Video Synthesis by Temporal Object-Centric Learning Tune-a-video: One-shot tun- ing of image diffusion models for text-to-video generation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.336566Z

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Observation 430bb969-8803-40e6-b8c4-8ed33041241e · outbound

This paper cites SlotFormer: Unsupervised visual dynamics simulation with object-centric models.

Compositional Video Synthesis by Temporal Object-Centric Learning SlotFormer: Unsupervised visual dynamics simulation with object-centric models

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.328676Z

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Observation e0d99ffa-f4c9-4e52-b5e7-f53cfec49e3b · outbound

This paper cites Slotdiffusion: Object-centric generative model- ing with diffusion models.

Compositional Video Synthesis by Temporal Object-Centric Learning Slotdiffusion: Object-centric generative model- ing with diffusion models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.319819Z

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Observation 049bc11e-77fc-4b40-946f-fe0b3b0f08ef · outbound

This paper cites Segment- ing moving objects via an object-centric layered represen- tation.

Compositional Video Synthesis by Temporal Object-Centric Learning Segment- ing moving objects via an object-centric layered represen- tation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.311397Z

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Observation ab3234e6-fe68-4713-a9ce-81bc16a5decc · outbound

This paper cites Youtube-vos: A large-scale video object segmentation benchmark.

Compositional Video Synthesis by Temporal Object-Centric Learning Youtube-vos: A large-scale video object segmentation benchmark

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.303372Z

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Observation 94a6aae8-6199-45ce-943e-2c72a445de2b · outbound

This paper cites Video instance segmentation.

Compositional Video Synthesis by Temporal Object-Centric Learning Video instance segmentation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.295284Z

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Observation 53ca6954-638a-4aff-90f2-0f387802af24 · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

Compositional Video Synthesis by Temporal Object-Centric Learning Efros, Eli Shechtman, and Oliver Wang

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.287579Z

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Observation cdae38e8-f316-438b-ab0c-21b77609e9d0 · outbound

This paper cites Controlvideo: Training-free controllable text-to-video generation.

Compositional Video Synthesis by Temporal Object-Centric Learning Controlvideo: Training-free controllable text-to-video generation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:44.278578Z

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