arXiv (All)
open access
Dense4D: Pixel-Level 4D Human Correspondence
Reconstructing human motion in 4D requires identifying the same surface points through articulation, deformation and changes in visibility. We introduce Dense4D, to our knowledge the first feed-forward model dedicated to dense 4D correspondence across the body, clothing and hair from a set of monocu
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LUNA: Learning Universal 3D Human Animation Beyond Skinning#820540
- Dyna3: VLM-Guided Training-Free 4D Reconstruction via Depth Foundation Models#1156558
- STA-TFM: Spatio-Temporal Aggregation Across Views TransForMer for Pose Estimation#1050656
- WATCH: World-aware Allied Trajectory and pose reConstruction for Camera and Human#1052020
- LUNA: Learning Universal 3D Human Animation Beyond Skinning#324924
Record · ID 1357980
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive