CineMatte uses a cross-attention design on a Siamese DINOv3 ViT plus a pretrained upsampler to produce robust mattes for virtual production, backed by a new non-synthetic 4K VP dataset that supports camera motion.
Imagenet: A large-scale hierarchical image database
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
QKD applies quantum-gated modulation to task embeddings to enable inter-task knowledge distillation that bridges representation gaps and mitigates catastrophic forgetting in streaming class-incremental learning.
citing papers explorer
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CineMatte: Background Matting for Virtual Production and Beyond
CineMatte uses a cross-attention design on a Siamese DINOv3 ViT plus a pretrained upsampler to produce robust mattes for virtual production, backed by a new non-synthetic 4K VP dataset that supports camera motion.
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Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning
QKD applies quantum-gated modulation to task embeddings to enable inter-task knowledge distillation that bridges representation gaps and mitigates catastrophic forgetting in streaming class-incremental learning.