PASTA: Towards Flexible and Efficient HDR Imaging Via Progressively
Aggregated Spatio-Temporal Aligment
PASTA: Towards Flexible and Efficient HDR Imaging Via Progressively
Aggregated Spatio-Temporal Aligment
Leveraging Transformer attention has led to great advancements in HDR deghosting. However, the intricate nature of self-attention introduces practical challenges, as existing state-of-the-art methods often demand high-end GPUs or exhibit slow inference speeds, especially for high-resolution images like 2K. Striking an optimal balance between performance and latency remains a critical …