HyperAIHyperAI
الرئيسيةالأخبارأحدث الأوراق البحثيةالدروسمجموعات البياناتالموسوعةSOTAنماذج LLMلوحة الأداء GPUالفعاليات
البحث
حول
HyperAIHyperAI

Image Compression On Kodak

المقاييس

BD-Rate over VTM-17.0

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
BD-Rate over VTM-17.0
Paper TitleRepository
WACNN-2.95The Devil Is in the Details: Window-based Attention for Image Compression-
MLIC+-11.39MLIC: Multi-Reference Entropy Model for Learned Image Compression-
ELIC-5.95ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding-
SegPIC-8.18Region-Adaptive Transform with Segmentation Prior for Image Compression-
MLIC++-13.39MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression-
LIC-TCM Large-10.14Learned Image Compression with Mixed Transformer-CNN Architectures-
STF-2.48The Devil Is in the Details: Window-based Attention for Image Compression-
MLIC-8.05MLIC: Multi-Reference Entropy Model for Learned Image Compression-
0 of 8 row(s) selected.
Image Compression On Kodak | SOTA | HyperAI