Results 101 to 110 of about 1,578 (183)

Leveraging transformer-based artificial intelligence for enhanced anesthetic decision-making in orthopedic surgery. [PDF]

Front Med (Lausanne)
Mao Y, Huang L, Li P, Qin Z, Wang L, Yan Y.   +5 more
europepmc   +1 more source

MaX4Zero: Masked Extended Attention for Zero‐Shot Virtual Try‐On In The Wild

Computer Graphics Forum, EarlyView.
Max4Zero is a zero‐shot, training‐free virtual try‐on method that leverages diffusion priors and extended attention for accurate garment transfer. By warping reference garments and mitigating texture sticking, it achieves superior fidelity, garment preservation and identity consistency over state‐of‐the‐art methods without additional training ...
Nadav Orzech, Yotam Nitzan, Ulysse Mizrahi, Dov Danon, Amit H. Bermano   +4 more
wiley   +1 more source

Omega deoxyribonucleic acid cryptography key-based authentication. [PDF]

Sci Rep
Chuah CW, Tey J, Mohamad KM.
europepmc   +1 more source

PBR‐Inspired Controllable Diffusion for Image Generation

Computer Graphics Forum, EarlyView.
Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue, Giuseppe Claudio Guarnera, Shuang Zhao, Zahra Montazeri   +3 more
wiley   +1 more source

Enhancing k_cat prediction through residue-aware attention mechanism and pre-trained representations. [PDF]

Commun Biol
Cai Y, Ge F, Zhang C, Chen H, Qi X, Liao X, Wang L.   +6 more
europepmc   +1 more source

Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network Visualization

Computer Graphics Forum, EarlyView.
Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley   +1 more source

A fault-tolerant neutral-atom architecture for universal quantum computation. [PDF]

Nature
Bluvstein D, Geim AA, Li SH, Evered SJ, Bonilla Ataides JP, Baranes G, Gu A, Manovitz T, Xu M, Kalinowski M, Majidy S, Kokail C, Maskara N, Trapp EC, Stewart LM, Hollerith S, Zhou H, Gullans MJ, Yelin SF, Greiner M, Vuletić V, Cain M, Lukin MD.   +22 more
europepmc   +1 more source

TT4D: Tensor‐Train‐based 4D Time‐Dependent Volume Rendering

Computer Graphics Forum, EarlyView.
Abstract Visualizing large‐scale, time‐varying volumetric data using direct volume rendering remains a significant challenge in scientific visualization, particularly as data sizes and resolutions continue to increase. One promising direction for addressing this challenge is the use of tensor decompositions, which have proven to be a useful tool for ...
Clara Hartmann, Rafael Ballester‐Ripoll, Renato Pajarola   +2 more
wiley   +1 more source

WheatRPred: deep learning framework for predicting disease resistance protein in wheat and its wild relatives. [PDF]

J Genet Eng Biotechnol
Pandey B, Singh M, Mishra AK.
europepmc   +1 more source

Medial Axis Aware Learning of Signed Distance Functions

Computer Graphics Forum, EarlyView.
Abstract We propose a novel variational method to compute a highly accurate global signed distance function (SDF) to a given point cloud. To this end, the jump set of the gradient of the SDF, which coincides with the medial axis of the surface, is explicitly taken into account through a higher‐order variational formulation that enforces linear growth ...
Samuel Weidemaier, Christoph Norden‐Smoch, Martin Rumpf   +2 more
wiley   +1 more source