TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming

NeurIPS 2025.
Zeyuan Yin, Xiaoming Liu
Computer Vision Lab, Michigan State University

We propose TRIM (Trajectory Reduction and Instance Mask denoising), a post-training approach that incorporates both temporal and spatial trimming strategies, to accelerate inference without compromising output quality while supporting the inference-time scaling for 3D Gaussian diffusion models.

The source code will be released soon.