Frequency-Structured Field Learning for Light-Field Disparity Estimation
Light-field disparity estimation requires global consistency in smooth or textureless regions and local precision near occlusion boundaries, thin structures, and abrupt depth transitions. Existing methods address these requirements through EPI matching, cost-volume or focal-stack construction, view aggregation, or direct convolutional regression, often relying on local windows, discrete disparity hypotheses, memory-intensive volumes, or attention-based aggregation. We instead formulate disparity estimation at the field level, predicting disparity from globally and locally updated EPI-derived l
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzySimilar title/name (fuzzy) · 87%HKUDS/LightRAG →
“Fuzzy title match (0.94): “Frequency-Structured Field Learning for Light-Field Disparit” ≈ “HKUDS/LightRAG””
- FuzzySimilar title/name (fuzzy) · 87%lightgbm-org/LightGBM →
“Fuzzy title match (0.94): “Frequency-Structured Field Learning for Light-Field Disparit” ≈ “lightgbm-org/LightGBM””
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- FuzzySimilar title/name (fuzzy) · 59%halfrost/Halfrost-Field →
“Fuzzy title match (0.73): “Frequency-Structured Field Learning for Light-Field Disparit” ≈ “halfrost/Halfrost-Field””
- FuzzySimilar title/name (fuzzy) · 59%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.73): “Frequency-Structured Field Learning for Light-Field Disparit” ≈ “aymericdamien/TopDeepLearning””
- LinkedLinked via arxiv author · 85%Sara Monji-Azad →
“Frequency-Structured Field Learning for Light-Field Disparity Estimation”
- LinkedLinked via arxiv author · 85%Yulin Liu →
“Frequency-Structured Field Learning for Light-Field Disparity Estimation”
- LinkedLinked via arxiv author · 85%Jürgen Hesser →
“Frequency-Structured Field Learning for Light-Field Disparity Estimation”