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Direct, parallel, and sequential generation methods reveal distinct strengths and weaknesses in multi-subject video synthesis, with implications for future I2V system designs.
Boost a VLM's rare-object reasoning without any finetuning by injecting learned embeddings from vision foundation models and synonym-augmented text.
