Deep and Fast Approximate Order Independent Transparency

arXiv:2305.10197 · cs.GR, cs.AI · Submitted 2023-05-17 · Read on arXiv

cs.GR, cs.AI

Submitted: 2023-05-17

Updated: 2023-05-17

DOI: 10.1111/cgf.15071

Code: https://github.com/gtsopus/DFA

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

Terminology

• alpha — 15× in this paper · explained in 1 episode
• Order Independent Transparency — 14× in this paper
• Accuracy — 9× in this paper · explained in 1 episode
• Feature Extraction — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Hybrid Transparency — 3× in this paper
• Activation Function — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Mean-Squared Error — 2× in this paper
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network

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