Call for Papers & Submission
Topics, requirements, and submission process for AIVTA 2026
Call for Papers
AIVTA 2026 invites original research on artificial intelligence applications in video and film production. We welcome theoretical and applied contributions from academia and industry.
Conference Topics
Track 1: Generative AI & Creative Content Production
- Large language models (LLMs) for scriptwriting and dialogue generation
- Diffusion models and generative adversarial networks for video synthesis
- Text-to-video and image-to-video generation technologies
- AI-assisted storyboarding and pre-visualization
- Multimodal content generation and cross-modal synthesis
- Creative AI collaboration tools for filmmakers
- Controllable generation and content editing
- Quality assessment of AI-generated content
Track 2: Intelligent Shooting & Virtual Production
- LED virtual production studios and in-camera VFX
- Real-time rendering engines for film production
- Camera tracking and motion capture systems
- On-set visualization and virtual scouting
- AI-assisted cinematography and camera operation
- Intelligent lighting and environment control
- Digital twins for production planning
- Multi-camera coordination and synchronization
Track 3: Multi-modal Perception & Post-production Automation
- AI-powered video editing and assembly
- Intelligent audio processing and dialogue enhancement
- Automated color grading and look development
- AI subtitle generation and localization
- Scene detection and content-aware editing
- Audio-visual synchronization and alignment
- Automated quality control and error detection
- Music composition and sound design automation
Track 4: Computer Graphics & Visual Effects
- Neural rendering and neural radiance fields (NeRF)
- Digital human creation and facial animation
- Physics-based simulation and procedural generation
- AI-driven environment and asset generation
- Deep learning for compositing and rotoscoping
- 3D Gaussian splatting and point cloud processing
- Character animation and motion synthesis
- Real-time ray tracing and global illumination
Track 5: Film/TV Big Data & Intelligent Distribution
- Content recommendation systems and personalization
- User behavior analytics and audience insights
- Content optimization for streaming platforms
- Adaptive bitrate streaming and quality optimization
- Box office prediction and content valuation
- Social media analytics for content marketing
- Cross-platform content distribution strategies
- Real-time viewership monitoring and analytics
Track 6: Immersive Media & Interactive Narrative
- Virtual reality (VR) and augmented reality (AR) production
- Mixed reality (MR) experiences and spatial computing
- Volumetric video capture and playback
- Spatial audio and 3D sound design
- Interactive storytelling and branching narratives
- AI-driven non-player characters and dialogue systems
- 360-degree video production and stitching
- Haptic feedback and multi-sensory experiences
Track 7: Compliance, Ethics Governance & Legal Regulation
- Deepfake detection and synthetic media forensics
- Copyright protection and intellectual property issues
- AI governance frameworks for media industry
- Content moderation and harmful content detection
- Privacy protection in facial recognition and tracking
- Watermarking and content authentication
- Ethical guidelines for AI in creative industries
- Regulatory frameworks and policy implications
Track 8: Industry Transformation & Talent Development
- AI-driven workflow innovation in film production
- Talent development and skills for AI-era filmmaking
- Industry case studies and best practices
- Future trends in AI-powered entertainment
- Human-AI collaboration in creative processes
- Cost optimization and production efficiency
- Small studio empowerment through AI tools
- Educational curricula for AI in media
Paper Requirements
Format Requirements
- Format: IEEE Conference format (two-column, 10pt font)
- File type: PDF format only
- Page limit: Maximum 8 pages, including figures, tables, and references
Language Requirements
- Main text: English (required)
- Abstract: English abstract required (150-250 words)
- Chinese abstract: Not required for the initial EDAS submission
- Keywords: 4-6 keywords in English
Content Requirements
- Original work: Papers must present original, unpublished research
- Not under review: Papers cannot be under review at other venues
- Anonymization: Submissions must be anonymized for double-blind review
- Ethical compliance: Research must comply with ethical guidelines
Paper Template
IEEE Conference Paper Template
Download the official IEEE conference template to format your paper.
Please use the IEEE conference template (A4 size) for your submission. Both LaTeX and Microsoft Word templates are available on the IEEE website.
Review Process
Double-Blind Peer Review
All submissions will undergo a rigorous double-blind peer review process. Each paper will be reviewed by at least three members of the Program Committee.
Review Criteria
- Originality and novelty of the research
- Technical soundness and methodology
- Significance and relevance to conference topics
- Clarity and quality of presentation
- Experimental evaluation (where applicable)
Anonymization Guidelines
- Remove author names and affiliations from the paper
- Remove self-citations or refer to them in third person
- Remove acknowledgements that may reveal identity
- Remove any identifying information from metadata
Submission Process
How to Submit
Submission System: AIVTA 2026 on EDAS
Submission Deadline: October 8, 2026
Submission Steps
- Create an EDAS account or sign in with your existing account
- Open the AIVTA 2026 EDAS page and select Submit paper
- Select the Full Papers track
- Enter the title, all authors and affiliations, 4-6 English keywords, a 150-250 word English abstract, and at least one topic
- Upload an anonymized A4 PDF in IEEE two-column format, no more than 8 pages
- Confirm that EDAS shows the paper status as Active (has manuscript)
Double-Blind Submission Notes
- Enter complete author information in EDAS, but do not include names or affiliations in the review PDF
- Remove acknowledgements and identifying PDF metadata from the review manuscript
- Do not include page numbers or an IEEE copyright notice in the review manuscript
- For submission-system questions, contact adv@aivta.org and include your EDAS paper ID
Questions about Submission?
Contact us if you have any questions about the submission process.