Trellis-500K
Emerging1papers using it
2026first seen
The 'Trellis-500K' dataset is a benchmark used to evaluate the performance of autoregressive multimodal large language models (MLLMs) in 3D shape generation.
The 'Trellis-500K' dataset is a benchmark used to evaluate the performance of autoregressive multimodal large language models (MLLMs) in 3D shape generation.