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Found 6 papers, 3 papers with code
Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion Models
This enables 20. 8x speedup in generation, highlighting that a large number of latent vectors is not a prerequisite for high-quality reconstruction and generation.
4D Scaffold Gaussian Splatting for Memory Efficient Dynamic Scene Reconstruction
To reduce the number of anchors, we further present enhanced formulations of neural 4D Gaussians.
Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos
We propose a new framework for creating and easily manipulating 3D models of arbitrary objects using casually captured videos.
Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging
To this end, we introduce a phasor-based enhancement network that is capable of predicting clean and full measurements from noisy partial observations.
Domain Reduction Strategy for Non Line of Sight Imaging
In this pipeline, we propose a novel domain reduction strategy to eliminate superfluous computations in empty regions.
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
To generate future frames, we first detect keypoints of a moving object and predict future motion as a sequence of keypoints.
