A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality | Paper Citation Record

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This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Frozen in time: A joint video and image encoder for end-to-end retrieval

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Lumiere: A Space-Time Diffusion Model for Video Generation

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This paper cites Is space-time attention all you need for video understanding? In Proceedings of the 38th International Conference on Ma- chine Learning (ICML), pages 813–824.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Is space-time attention all you need for video understanding? In Proceedings of the 38th International Conference on Ma- chine Learning (ICML), pages 813–824

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Generating Long Videos of Dynamic Scenes

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Unresolved cited work

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality SkyReels-V2: Infinite-length Film Generative Model

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Pixart- α: Fast train- ing of diffusion transformer for photorealistic text-to-image synthesis, 2023

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Panda-70m: Captioning 70m videos with multiple cross-modality teachers

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Multi-subject open-set personalization in video generation

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Seine: Short-to-long video diffusion model for generative transition and prediction

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters

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This paper cites Unimax: Fairer and more effective language sampling for large-scale multilingual pretraining.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Unimax: Fairer and more effective language sampling for large-scale multilingual pretraining

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Zhao, Yanping Huang, An- drew M

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Efficient video prediction via sparsely conditioned flow matching

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Unresolved cited work

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Scaling rectified flow transformers for high-resolution image synthesis

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Ca2-vdm: Efficient autoregres- sive video diffusion model with causal generation and cache sharing

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Berg, Arash Vah- dat, Alexei A

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Seedance 1.0: Exploring the Boundaries of Video Generation Models

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Zico Kolter, and Kaiming He

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Veo 3: Neural video generation with native audio

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Animatediff: Animate your personalized text-to-image models

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality LTX-Video: Realtime Video Latent Diffusion

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Clipscore: A reference-free eval- uation metric for image captioning

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Gans trained by a two time-scale update rule converge to a local nash equilib- rium

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Denoising dif- fusion probabilistic models

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Unresolved cited work

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality LoRA: Low-Rank Adaptation of Large Language Models

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Vbench: Comprehensive benchmark suite for video generative mod- els

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Pika 1.5: Realistic scene and motion synthesis,

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Sim2real: Synthetic video data for vision-based robotic manipulation learning

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality VACE: All-in-One Video Creation and Editing

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Pyramidal flow matching for efficient video generative modeling

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Miradata: A large-scale video dataset with long du- rations and structured captions, 2024

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Miradata: A large-scale video dataset with long 10 durations and structured captions

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Cinediff: Diffusion models for cinematic video synthesis

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality HunyuanVideo: A Systematic Framework For Large Video Generative Models

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Minimax hailuo: Scalable multi- subject video generation, 2025

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Openhumanvid: A large-scale high- quality dataset for enhancing human-centric video genera- tion

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Open-Sora Plan: Open-Source Large Video Generation Model

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Unresolved cited work

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Phantom: Subject-consistent video generation via cross-modal alignment

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Latte: Latent diffusion transformer for video generation

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Gamegan: Video generation for atari games

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Sora: Openai’s text-to-video generator, 2024

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Scalable diffusion mod- els with transformers

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Movie Gen: A Cast of Media Foundation Models

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Learning transferable visual models from natural language supervision

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Unresolved cited work

Reference 57

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

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Gener- ating diverse high-fidelity images with vq-vae-2

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.529569Z

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This paper cites Runway gen-3: Advanced video syn- thesis platform, 2024.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Runway gen-3: Advanced video syn- thesis platform, 2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.520108Z

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

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality High-resolution image synthesis with latent diffusion models

Reference 60

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality U- net: Convolutional networks for biomedical image segmen- tation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.505284Z

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This paper cites Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.496424Z

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This paper cites Flashattention-3: Fast and accurate attention with asynchrony and low-precision,.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Flashattention-3: Fast and accurate attention with asynchrony and low-precision,

Reference 63

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This paper cites Videopoet: Large language models are zero-shot video generators.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Videopoet: Large language models are zero-shot video generators

Reference 64

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Denois- ing diffusion implicit models

Reference 65

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This paper cites Kling2.0: Proprietary high-fidelity video generation, 2024.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Kling2.0: Proprietary high-fidelity video generation, 2024

Reference 66

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Observation 27325cd4-c1a1-4879-9699-5c1953e11ec8 · outbound

This paper cites MAGI-1: Autoregressive Video Generation at Scale.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality MAGI-1: Autoregressive Video Generation at Scale

Reference 67

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Mocogan: Decomposing motion and content for video generation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.451254Z

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Observation df8baf8e-f220-41ab-ab0f-bb296487f7a1 · outbound

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

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 69

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Neural discrete representation learn- ing

Reference 70

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This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Wan: Open and Advanced Large-Scale Video Generative Models

Reference 71

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality ModelScope Text-to-Video Technical Report

Reference 72

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Text2video: Gener- ating educational videos from text

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.433200Z

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Observation 079cc167-5b3a-4d9f-89ed-0c0b57dbb5ff · outbound

This paper cites Koala- 36m: A large-scale video dataset improving consistency between fine-grained conditions and video content, 2024.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Koala- 36m: A large-scale video dataset improving consistency between fine-grained conditions and video content, 2024

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.424383Z

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Observation 3db225ab-3e21-479c-999b-2be81a2f815a · outbound

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content

Reference 75

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Diffuse and Disperse: Image Generation with Representation Regularization

Reference 76

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation

Reference 77

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Videofactory: Swap attention in spatiotemporal diffusions for text-to-video gen- eration

Reference 78

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Non-local neural networks

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.406460Z

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Yuille, Zicheng Liu, and Emad Barsoum

Reference 80

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This paper cites Loong: Generating Minute-level Long Videos with Autoregressive Language Models.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 81

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Bovik, Hamid R

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.396397Z

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Humanvid: Demystifying train- ing data for camera-controllable human image animation

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.388182Z

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing

Reference 84

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Panacea: Panoramic and controllable video generation for au- tonomous driving

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.379861Z

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This paper cites MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation

Reference 86

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Automated Movie Generation via Multi-Agent CoT Planning

Reference 87

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Mind the time: Temporally- controlled multi-event video generation

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.371071Z

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This paper cites A survey on video diffusion models.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality A survey on video diffusion models

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.362057Z

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This paper cites Surgi- cal video synthesis using generative models for procedure training.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Surgi- cal video synthesis using generative models for procedure training

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.353216Z

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This paper cites Advancing high-resolution video-language representation with large-scale video transcriptions.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Advancing high-resolution video-language representation with large-scale video transcriptions

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.344569Z

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Observation d67194a9-c23e-4ad0-b33f-b54bc01b11b7 · outbound

This paper cites Temporally Consistent Transformers for Video Generation.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Temporally Consistent Transformers for Video Generation

Reference 92

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This paper cites Vript: A video is worth thousands of words.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Vript: A video is worth thousands of words

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.336035Z

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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality 360° vr video genera- tion with generative adversarial networks

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.326333Z

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Observation 2a742e0c-8837-4f4f-8bb2-41edbf20e9c1 · outbound

This paper cites VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior

Reference 95

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This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.315924Z

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Observation 83421e8d-4098-4575-b067-bba14b442e4a · outbound

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

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T18:51:31.488724Z

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Observation 0f6cd5e5-47de-4748-bb35-16492f705483 · outbound

This paper cites Framepack: Pack- ing input frame context for next-frame prediction models.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Framepack: Pack- ing input frame context for next-frame prediction models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T18:51:31.599998Z

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Observation 36715bad-77f5-4ede-bd11-a840d56fa124 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Efros, Eli Shecht- man, and Oliver Wang

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:33.305757Z

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Observation e1cda6db-b13e-47c4-b547-d3ec492efd5e · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T18:51:31.757497Z

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