PIPBench is a profile-inclusive benchmark with 1,369 test cases from 251 real users and synthetic agents that evaluates personalized image generation methods, revealing that current approaches struggle to jointly interpret multiple reference images for preference alignment.
Amit Moryossef and Mathias Müller
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2representative citing papers
SignVerse-2M provides a 2-million-clip multilingual pose-native dataset for sign language derived from public videos via DWPose preprocessing to enable robust modeling in real-world conditions.
citing papers explorer
-
PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation
PIPBench is a profile-inclusive benchmark with 1,369 test cases from 251 real users and synthetic agents that evaluates personalized image generation methods, revealing that current approaches struggle to jointly interpret multiple reference images for preference alignment.
-
SignVerse-2M: A Two-Million-Clip Pose-Native Universe of 55+ Sign Languages
SignVerse-2M provides a 2-million-clip multilingual pose-native dataset for sign language derived from public videos via DWPose preprocessing to enable robust modeling in real-world conditions.