Views
No views yet
Pairwise Rank — directly judge which of two edited images is better. Pairwise Score — assign a separate score to each image in a pair. Pointwise Score — rate a single image on two axes: instruction-following and overall image quality.
UnifiedReward-Edit/ directory, while T2I inference code is unchanged from previous models. The editing training data is preprocessed from EditScore and EditReward. We sincerely appreciate all contributors!!export VLLM_DISABLE_FLASHINFER_GDN_PREFILL=1
export TOKENIZERS_PARALLELISM=false
vllm serve CodeGoat24/UnifiedReward-Edit-qwen35-27b \
--host localhost \
--port 8080 \
--trust-remote-code \
--served-model-name UnifiedReward \
--gpu-memory-utilization 0.95 \
--mm-encoder-tp-mode data \
--mm-processor-cache-type shm \
--enable-prefix-caching \
--tensor-parallel-size 8 \
--default-chat-template-kwargs '{"enable_thinking": false}'@article{unifiedreward,
title={Unified reward model for multimodal understanding and generation},
author={Wang, Yibin and Zang, Yuhang and Li, Hao and Jin, Cheng and Wang, Jiaqi},
journal={arXiv preprint arXiv:2503.05236},
year={2025}
}