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Found 4 papers, 1 papers with code
Diffusion on language model embeddings for protein sequence generation
Protein design requires a deep understanding of the inherent complexities of the protein universe.
Combining Contrastive and Supervised Learning for Video Super-Resolution Detection
To explain how the method detects videos, we systematically review the major components of our framework - in particular, we show that most data-augmentation approaches hinder the learning of the method.
Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric
To analyze the detail-restoration capabilities of image and video SR models, we developed a benchmark based on our own video dataset, which contains complex patterns that SR models generally fail to correctly restore.
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