CausalCine enables real-time causal autoregressive multi-shot video generation via multi-shot training, content-aware memory routing for coherence, and distillation to few-step inference.
Videogen-of-thought: Step-by-step generating multi-shot video with minimal manual intervention
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
years
2026 5verdicts
UNVERDICTED 5representative citing papers
TIE derives a sinc-based interval encoding from temporal integrability and duration invariance principles, raising temporal constraint satisfaction from 77% to 96% on the OmniEvents dataset while preserving visual quality.
Camera Artist is a multi-agent framework introducing a Cinematography Shot Agent with recursive storyboard generation and cinematic language injection to improve narrative consistency and film quality in AI-generated storytelling videos.
Affordance Agent Harness is a verification-gated orchestration system that unifies skills via an evidence store, episodic memory priors, an adaptive router, and a self-consistency verifier to improve accuracy-cost tradeoffs in open-world affordance grounding.
Long-CODE isolates long-context video evaluation with a new benchmark dataset and shot-dynamics metric that correlates better with human judgments on narrative richness and global consistency than short-video metrics.
citing papers explorer
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CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives
CausalCine enables real-time causal autoregressive multi-shot video generation via multi-shot training, content-aware memory routing for coherence, and distillation to few-step inference.
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TIE: Time Interval Encoding for Video Generation over Events
TIE derives a sinc-based interval encoding from temporal integrability and duration invariance principles, raising temporal constraint satisfaction from 77% to 96% on the OmniEvents dataset while preserving visual quality.
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Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation
Camera Artist is a multi-agent framework introducing a Cinematography Shot Agent with recursive storyboard generation and cinematic language injection to improve narrative consistency and film quality in AI-generated storytelling videos.
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Affordance Agent Harness: Verification-Gated Skill Orchestration
Affordance Agent Harness is a verification-gated orchestration system that unifies skills via an evidence store, episodic memory priors, an adaptive router, and a self-consistency verifier to improve accuracy-cost tradeoffs in open-world affordance grounding.
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Long-CODE: Isolating Pure Long-Context as an Orthogonal Dimension in Video Evaluation
Long-CODE isolates long-context video evaluation with a new benchmark dataset and shot-dynamics metric that correlates better with human judgments on narrative richness and global consistency than short-video metrics.