groundingLMM

★ 969

vs

Code2Video

★ 2.2k

groundingLMM vs Code2Video

groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.; Code2Video: Code2Video is an agentic, code-centric framework that generates high-quality educational videos from knowledge points. It leverages executable Manim code to ensure clarity, coherence, and reproducibility, unlike pixel-based text-to-video models.