ByteDance teaches image models left from right with spatial rewards
ByteDance researchers introduced a spatial reward modeling framework alongside SpatialScore, fixing a stubborn flaw where image generators mix up object positions. By training on over 80,000 spatial preference pairs, the method helps models like Flux follow complex layout prompts. The team plans to open-source the dataset and weights soon.