Tracking everything everywhere all at once

Q Wang, YY Chang, R Cai, Z Li… - Proceedings of the …, 2023 - openaccess.thecvf.com
We present a new test-time optimization method for estimating dense and long-range motion
from a video sequence. Prior optical flow or particle video tracking algorithms typically …

Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis

J Luiten, G Kopanas, B Leibe, D Ramanan - ar** in medical computer vision: A review
A Schmidt, O Mohareri, S DiMaio, MC Yip… - Medical Image …, 2024 - Elsevier
As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

Draganything: Motion control for anything using entity representation

W Wu, Z Li, Y Gu, R Zhao, Y He, DJ Zhang… - … on Computer Vision, 2024 - Springer
We introduce DragAnything, which utilizes a entity representation to achieve motion control
for any object in controllable video generation. Comparison to existing motion control …

Dino-tracker: Taming dino for self-supervised point tracking in a single video

N Tumanyan, A Singer, S Bagon, T Dekel - European Conference on …, 2024 - Springer
We present DINO-Tracker–a new framework for long-term dense tracking in video. The pillar
of our approach is combining test-time training on a single video, with the powerful localized …

Space-time diffusion features for zero-shot text-driven motion transfer

D Yatim, R Fridman, O Bar-Tal… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present a new method for text-driven motion transfer-synthesizing a video that complies
with an input text prompt describing the target objects and scene while maintaining an input …

Readout guidance: Learning control from diffusion features

G Luo, T Darrell, O Wang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract We present Readout Guidance a method for controlling text-to-image diffusion
models with learned signals. Readout Guidance uses readout heads lightweight networks …

Taptr: Tracking any point with transformers as detection

H Li, H Zhang, S Liu, Z Zeng, T Ren, F Li… - European Conference on …, 2024 - Springer
In this paper, we propose a simple yet effective approach for Tracking Any Point with
TRansformers (TAPTR). Based on the observation that point tracking bears a great …