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Projects sharing features with MHFormer
21 open-source projects similar to vegetebird/mhformer, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
- facebookresearch/pifuhd
facebookresearch/pifuhd
9,743View on GitHubpifuhd is a 3D human reconstruction framework that generates high-resolution 3D meshes of people from a single 2D image. It utilizes pixel-aligned implicit functions to map image pixels to 3D space, predicting surface occupancy and distance to create detailed geometry. The system includes a pipeline for creating digital human assets, moving from 2D image feature projection to the extraction of discrete triangular meshes. It features specialized tools for refining these models, including a post-processor that removes geometric artifacts by isolating the largest connected component of the mesh.
Python - idea-research/grounded-segment-anything
IDEA-Research/Grounded-Segment-Anything
17,633View on GitHubGrounded-Segment-Anything is a suite of specialized tools for multimodal visual analysis, text-based segmentation, and generative image editing. It integrates text-to-bounding-box detection and high-precision image segmentation masks to function as a text-based image segmenter and an automated visual labeling tool. The project enables text-driven image editing by identifying objects through natural language to perform inpainting and element replacement. It further extends visual analysis into three dimensions, allowing for 3D human reconstruction and the generation of 3D bounding boxes from t
Jupyter Notebook3d-whole-body-pose-estimationautomatic-labeling-systemcaption - arthur151/romp
Arthur151/ROMP
| ROMP | BEV | TRACE | | :---: | :---: | :---: | | Monocular, One-stage, Regression of Multiple 3D People (ICCV21) | Putting People in their Place: Monocular Regression of 3D People in Depth (CVPR2022) | TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments (CVPR2023)…
