Efficient Concertormer for Image Deblurring and Beyond

arXiv:2404.06135 · cs.CV · Submitted 2024-04-09 · Read on arXiv

cs.CV

Submitted: 2024-04-09

Updated: 2026-09-20

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Transformer — 35× in this paper · explained in 2 episodes
Concerto Self-Attention — 27× in this paper
Cross-Dimensional Communication — 7× in this paper
Attention Mechanism — 6× in this paper · explained in 2 episodes
Transformer Architecture — 4× in this paper · explained in 2 episodes
Aggregation — 3× in this paper · explained in 1 episode
Ablation — 2× in this paper · explained in 1 episode
Ablation study — 2× in this paper · explained in 1 episode
Transfer Learning — 2× in this paper · explained in 10 episodes
Adaptation — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Consistency — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Distillation — 1× in this paper · explained in 2 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Robustness — 1× in this paper · explained in 5 episodes
Sparsity — 1× in this paper · explained in 4 episodes
Test-time Local Converter — 1× in this paper
Transformer Models — 1× in this paper · explained in 2 episodes
U-net architecture — 1× in this paper · explained in 3 episodes

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