AcoustiTrace RT60 Evaluator

This repository contains the learned visual RT60 component used by AcoustiTrace, an audio-visual benchmark for diagnosing acoustic plausibility in generated videos.

The checkpoint estimates scene-consistent reverberation time at 500 Hz from visual acoustic cues. It contains a LoRA adapter for Qwen/Qwen3-VL-8B-Instruct and a Sabine-guided continuous physics head. It does not include a copy of the Qwen3-VL base model.

Files

physics_head.pt
vlm_adapter/
  adapter_config.json
  adapter_model.safetensors
processor/
acoustitrace_rt60_config.json
SHA256SUMS

Use with AcoustiTrace

git clone https://github.com/Leader-sheng/AcoustiTrace.git
cd AcoustiTrace

python scripts/download_weights.py \
  --repo-id Missouter/AcoustiTrace-RT60 \
  --local-dir checkpoints/acoustitrace-rt60

python scripts/verify_checkpoint.py checkpoints/acoustitrace-rt60

The frozen base model is downloaded separately from Qwen/Qwen3-VL-8B-Instruct. Full evaluator setup and end-to-end commands are provided in the AcoustiTrace repository.

Training sources and license

The RT60 supervision combines Matterport3D RGB-D observations, SoundSpaces 2.0 room-acoustic simulation, and absorption coefficients from the PTB Room Acoustics Absorption Coefficient Database. No upstream training data is included in this repository.

The model artifacts are available for non-commercial academic and research use under the terms in LICENSE. In particular, use remains subject to the Matterport3D Academic Use Terms. The Qwen3-VL base model is separately licensed under Apache-2.0.

Links

Scope

This model is released as the visual RT60 evaluator for AcoustiTrace. Its outputs are diagnostic estimates for benchmark evaluation rather than direct room-acoustic measurements.

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