…AI-generated summary Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inverse-kinematics (IK…
…While momentum-based optimizers provide a natural remedy, they pose challenges in simultaneously achieving training efficiency and effectiveness. To address this, we develop a chunkwise parallel algorithm for LA with a stepwise…
…View arXiv page View PDF Project page GitHub 0 Add to collection Community We propose CPCANet, which unrolls CPCA into a differentiable network to learn a structured domain-invariant subspace for domain…
…ESamp is motivated by the well-known observation that neural networks tend to make lower-error predictions on inputs similar to those encountered before, and incur higher prediction error on novel ones…
…A Fast Parallel Transform-based Codec for Efficient Asymmetric Signal Compression (2026) Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression (2026) CoD-Lite: Real-Time Diffusion-Based Generative Image…
…more optimization and less brute force. Also wonder what tool did the author use for creating step diagram. · Excalidraw 👀 I'm so glad that initiative like this already exist, I'm gonna…
To show you the most relevant results, we’ve omitted some entries very similar to those already shown. Repeat the search with the omitted results included.