mlsanityData to 14 Oct 2026

Automatic Camera Trajectory Control with Enhanced Immersion for Virtual Cinematography

arXiv 2303.17041 ↗First posted 29 Mar 2023cs.MM cs.GR cs.LGcited by 0

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Abstract (arXiv)

User-generated cinematic creations are gaining popularity as our daily entertainment, yet it is a challenge to master cinematography for producing immersive contents. Many existing automatic methods focus on roughly controlling predefined shot types or movement patterns, which struggle to engage viewers with the circumstances of the actor. Real-world cinematographic rules show that directors can create immersion by comprehensively synchronizing the camera with the actor. Inspired by this strategy, we propose a deep camera control framework that enables actor-camera synchronization in three aspects, considering frame aesthetics, spatial action, and emotional status in the 3D virtual stage. Following rule-of-thirds, our framework first modifies the initial camera placement to position the actor aesthetically. This adjustment is facilitated by a self-supervised adjustor that analyzes frame composition via camera projection. We then design a GAN model that can adversarially synthesize fine-grained camera movement based on the physical action and psychological state of the actor, using an encoder-decoder generator to map kinematics and emotional variables into camera trajectories. Moreover, we incorporate a regularizer to align the generated stylistic variances with specific emotional categories and intensities. The experimental results show that our proposed method yields immersive cinematic videos of high quality, both quantitatively and qualitatively. Live examples can be found in the supplementary video.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 56 references that are in the map. First posted on arXiv 29 Mar 2023.

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References · 10

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  7. 2023JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fieldscited by 13
  8. 2019Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematographycited by 10
  9. 2020Batteries, camera, action! Learning a semantic control space for expressive robot cinematographycited by 6
  10. 2020LookOut! Interactive Camera Gimbal Controller for Filming Long Takescited by 1

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