Research from Video Rebirth
We’re advancing research in AI systems that understand cinematic intent and generate video with precision, control, and consistency.
July 3, 2026
FreqEdit: Preserving High-Frequency Features for Robust Multi-Turn Image Editing
By Video Rebirth Research
By Video Rebirth Research
July 3, 2026
FreqEdit is a training-free framework for robust multi-turn image editing, preserving high-frequency features to maintain identity consistency, visual quality, and instruction-following across iterative edits.
Read PaperJuly 2, 2026
KVPO: ODE-Native GRPO for Autoregressive Video Alignment via KV Semantic Exploration
By Video Rebirth Research
By Video Rebirth Research
July 2, 2026
An ODE-native GRPO framework that aligns autoregressive video generators through KV-based semantic exploration.
Read PaperJuly 1, 2026
AnyTalker: Scaling Multi-Person Talking Video Generation with Interactivity Refinement
By Video Rebirth Research
By Video Rebirth Research
July 1, 2026
AnyTalker is an audio-driven multi-person talking video generation framework that supports scalable identity control, natural lip synchronization, and interactive conversational behaviors. It introduces Audio-Face Cross Attention and a two-stage training strategy to learn multi-person speaking patterns with low data cost.
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