--- license: cc-by-nc-4.0 pipeline_tag: video-to-3d --- # Trace Anything: Representing Any Video in 4D via Trajectory Fields This repository contains the official implementation of the paper [Trace Anything: Representing Any Video in 4D via Trajectory Fields](https://huggingface.co/papers/2510.13802). Trace Anything proposes a novel approach to represent any video as a Trajectory Field, a dense mapping that assigns a continuous 3D trajectory function of time to each pixel in every frame. The model predicts the entire trajectory field in a single feed-forward pass, enabling applications like goal-conditioned manipulation, motion forecasting, and spatio-temporal fusion. Project Page: [https://trace-anything.github.io/](https://trace-anything.github.io/) Code: [https://github.com/ByteDance-Seed/TraceAnything](https://github.com/ByteDance-Seed/TraceAnything) ## Overview
## Installation For detailed installation instructions, please refer to the [GitHub repository](https://github.com/ByteDance-Seed/TraceAnything#setup). ## Sample Usage To run inference with the Trace Anything model, first, download the pretrained weights (see GitHub for details). Then, you can use the provided script as follows: ```bash # Download the model weights to checkpoints/trace_anything.pt # Place your input video/image sequence in examples/input// python scripts/infer.py \ --input_dir examples/input \ --output_dir examples/output \ --ckpt checkpoints/trace_anything.pt ``` Results, including 3D control points and confidence maps, will be saved to `//output.pt`. ## Interactive Visualization An interactive 3D viewer is available to explore the generated trajectory fields. Run it using: ```bash python scripts/view.py --output examples/output//output.pt ``` For more options and remote usage, check the [GitHub repository](https://github.com/ByteDance-Seed/TraceAnything#interactive-visualization-%EF%B8%8F). ## Citation If you find this work useful, please consider citing the paper: ```bibtex @misc{liu2025traceanythingrepresentingvideo, title={Trace Anything: Representing Any Video in 4D via Trajectory Fields}, author={Xinhang Liu and Yuxi Xiao and Donny Y. Chen and Jiashi Feng and Yu-Wing Tai and Chi-Keung Tang and Bingyi Kang}, year={2025}, eprint={2510.13802}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2510.13802}, } ```