atlas

Research map / 3D vision / Gaussian splatting

FreeTimeGS: Free Gaussian Primitives at Anytime Anywhere for Dynamic Scene Reconstruction

CVPR 2025 · 3D vision › Gaussian splatting · approach: Monocular dynamic scene reconstruction · 18 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes FreeTimeGS, a 4D Gaussian representation whose primitives appear at arbitrary times and locations with linear velocity motion and temporal opacity, plus a 4D opacity regularizer and periodic relocation, for real-time dynamic novel view synthesis of fast-motion scenes.

Problem

Reconstructing dynamic 3D scenes with complex, fast motion from multi-view video; deformation-field and canonical 3D Gaussian methods struggle to build long-range correspondences and optimize poorly under large motion.

Approach

Gaussian primitives are free in both space and time: each has a temporal Gaussian opacity (duration) and a linear velocity motion function, so it only needs short-range motion modeling; a stop-gradient opacity regularizer weighted by temporal opacity avoids high-opacity blocking of gradients, and periodic relocation reallocates low-opacity primitives.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
use FreeTimeGS instead of Ex4DGSFreeTimeGS · Neural3DVPSNR: 32.11 -> 33.19Helped
use FreeTimeGS instead of 4K4DFreeTimeGS · ENeRF-OutdoorPSNR: 25.28 -> 25.36Helped
use FreeTimeGS instead of 4DGSFreeTimeGS · SelfCap (entire)PSNR: 25.98 -> 27.41Helped
use FreeTimeGS instead of 4DGSFreeTimeGS · SelfCap (dynamic)PSNR: 26.75 -> 29.38Helped
use the proposed motion representation instead of 4DGS motion representation (ablation)FreeTimeGS · SelfCap dance1 (entire/fastest)PSNR: 28.10/26.92 -> 29.74/30.75Helped
add 4D regularization loss (ablation)FreeTimeGS · SelfCap dance1 (entire/fastest)PSNR: 28.68/29.09 -> 29.74/30.75Helped
add periodic relocation instead of using the 3DGS densify strategy (ablation)FreeTimeGS · SelfCap dance1 (entire/fastest)PSNR: 29.07/29.15 -> 29.74/30.75Helped
add proposed 4D velocity initialization instead of zero velocity initialization (ablation)FreeTimeGS · SelfCap dance1 (entire/fastest)PSNR: 28.33/27.06 -> 29.74/30.75Helped
set λreg to 0 instead of 1e−2 (ablation)FreeTimeGS · SelfCap dance1 (entire/fastest)PSNR: 29.74/30.75 -> 28.68/29.09Hurt
set λreg to 1e−3 instead of 1e−2 (ablation)FreeTimeGS · SelfCap dance1 (entire/fastest)PSNR: 29.74/30.75 -> 29.10/29.79Hurt
set λreg to 1e−1 instead of 1e−2 (ablation)FreeTimeGS · SelfCap dance1 (entire/fastest)PSNR: 29.74/30.75 -> 26.43/27.33Hurt

Surprising findings

Limitations

Experimental setup

Datasets: Neural3DV ENeRF-Outdoor SelfCap

Benchmarks: Neural3DV ENeRF-Outdoor SelfCap

Metrics: PSNR DSSIM LPIPS FPS

Baselines: 4DGS STGS 4K4D ENeRF Ex4DGS HexPlane K-Planes MixVoxels Deformable-3DGS DyNeRF

Builds on: 3D Gaussian Splatting 4DGS Deformable 3D Gaussians ROMA

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy