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FoundHand is trained on our large-scale FoundHand-10M dataset which contains automatically extracted 2D keypoints and segmentation mask annotations (top left). FoundHand is formulated as a 2D pose-conditioned image-to-image diffusion model that enables precise hand pose and camera viewpoint control (top right). Optionally, we can condition the generation with a reference image to preserve its style (top right). Our model demonstrates exceptional in-the-wild generalization across hand-centric applications and has core capabilities. such as gesture transfer, domain transfer, and novel view synthesis (middle row). This endows FoundHand with zero-shot applications to fix malformed hand images and synthesize coherent hand and hand-object videos, without explicitly giving object cues (bottom row).
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Computing Protein pKas Using the TABI Poisson–Boltzmann Solver
• To compute protein pKas, a continuum dielectric Poisson-Boltzmann model defined on a molecular domain and a solvent domain is used for computing the related electrostatic free energies (top left). • The PB model in its boundary integral form is accurately solved on the triangulated molecular surface (e.g. BPTI) accelerated by a fast Treecode algorithm (top right). • The method obtains the intrinsic pKa and then computes the protonation probability for a given pH including site-site interactions by going through an energy driven titrating procedure. Comparison with experimental results are provided (bottom left and right).
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- PAR ID:
- 10249378
- Date Published:
- Journal Name:
- Journal of Computational Biophysics and Chemistry
- Volume:
- 20
- Issue:
- 02
- ISSN:
- 2737-4165
- Page Range / eLocation ID:
- 175 to 187
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1142/S2737416520420065
