Ground3D-LMM — CA-VQA (3D+2D)
Fine-tuned Ground3D-LMM checkpoint for CA-VQA (paper Table 9 — generality beyond ScanNet), 3D+2D (point cloud + RGB views) setting. Reproduces the paper's Table-9 average (~48).
- Checkpoint file:
pytorch_model.pth - Code: https://github.com/AmolHarsh/ground3d-lmm
Usage
CKPT=$(huggingface-cli download amolharsh/Ground3D-LMM-CAVQA-4B-Joint pytorch_model.pth)
# evaluate with the CA-VQA harness: infer_cavqa.py -> merge_preds.py -> evaluate_cavqa.py