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Found 7 papers, 2 papers with code
VividDream: Generating 3D Scene with Ambient Dynamics
An ensemble of animated videos is then generated using video diffusion models with quality refinement techniques and conditioned on renderings of the static 3D scene from the sampled camera trajectories.
Fast View Synthesis of Casual Videos
Specifically, we build a global static scene model using an extended plane-based scene representation to synthesize temporally coherent novel video.
Text-driven Visual Synthesis with Latent Diffusion Prior
There has been tremendous progress in large-scale text-to-image synthesis driven by diffusion models enabling versatile downstream applications such as 3D object synthesis from texts, image editing, and customized generation.
Shape-aware Text-driven Layered Video Editing
Temporal consistency is essential for video editing applications.
Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training
It can improve the robustness of learning-based methods with flow-guided keyframes and well-established depth prior.
Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking
This paper introduces an approach for multi-human 3D pose estimation and tracking based on calibrated multi-view.
Ranked #6 on
3D Multi-Person Pose Estimation
on Campus
3D Video Stabilization With Depth Estimation by CNN-Based Optimization
We take advantage of the recent self-supervised framework on jointly learning depth and camera ego-motion estimation on raw videos.
