mlsanityData to 7 Oct 2026

ShoulderShot: Generating Over-the-Shoulder Dialogue Videos

arXiv 2508.07597 ↗First posted 11 Aug 2025cs.CV cs.AIcited by 7

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Abstract (arXiv)

Over-the-shoulder dialogue videos are essential in films, short dramas, and advertisements, providing visual variety and enhancing viewers' emotional connection. Despite their importance, such dialogue scenes remain largely underexplored in video generation research. The main challenges include maintaining character consistency across different shots, creating a sense of spatial continuity, and generating long, multi-turn dialogues within limited computational budgets. Here, we present ShoulderShot, a framework that combines dual-shot generation with looping video, enabling extended dialogues while preserving character consistency. Our results demonstrate capabilities that surpass existing methods in terms of shot-reverse-shot layout, spatial continuity, and flexibility in dialogue length, thereby opening up new possibilities for practical dialogue video generation. Videos and comparisons are available at https://shouldershot.github.io.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 26 of its 35 references that are in the map. First posted on arXiv 11 Aug 2025.

Builds on

26 of 35 references.

References · 26

  1. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  2. 2025Wan: Open and Advanced Large-Scale Video Generative Modelscited by 2,536
  3. 2018Towards Accurate Generative Models of Video: A New Metric & Challengescited by 1,204
  4. 2023Generative Multimodal Models are In-Context Learnerscited by 446
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  9. 2017VITON: An Image-based Virtual Try-on Networkcited by 285
  10. 2025SkyReels-V2: Infinite-length Film Generative Modelcited by 218
  11. 2024MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidancecited by 196
  12. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 161
14 more
  1. 2024In-Context LoRA for Diffusion Transformerscited by 155
  2. 2023LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-Oncited by 151
  3. 2024PuLID: Pure and Lightning ID Customization via Contrastive Alignmentcited by 143
  4. 2023Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoisingcited by 135
  5. 2023Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flowcited by 123
  6. 2022Style-Based Global Appearance Flow for Virtual Try-Oncited by 88
  7. 2024Instruct-Imagen: Image Generation with Multi-modal Instructioncited by 65
  8. 2024Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-Oncited by 38
  9. 2025MoCha: Towards Movie-Grade Talking Character Synthesiscited by 31
  10. 2025DualTalk: Dual-Speaker Interaction for 3D Talking Head Conversationscited by 31
  11. 2024M&M VTO: Multi-Garment Virtual Try-On and Editingcited by 29
  12. 2023MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editingcited by 21
  13. 2025InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditionscited by 20
  14. 2025TV-Dialogue: Crafting Theme-Aware Video Dialogues with Immersive Interactioncited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 5.

7 papers.