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cs.CV2026

Matryoshka Gaussian Splatting

Zhilin Guo, Boqiao Zhang, Hakan Aktas +11

The ability to render scenes at adjustable fidelity from a single model, known as level of detail (LoD), is crucial for practical deployment of 3D Gaussian Splatting (3DGS). Existi…

cs.CV2026

PoseCraft: Tokenized 3D Body Landmark and Camera Conditioning for Photorealistic Human Image Synthesis

Zhilin Guo, Jing Yang, Kyle Fogarty +9

Digitizing humans and synthesizing photorealistic avatars with explicit 3D pose and camera controls are central to VR, telepresence, and entertainment. Existing skinning-based work…

cs.CV2026

Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance

Chenliang Zhou, Fangcheng Zhong, Weihao Xia +3

We introduce the Quartet of Diffusions, a structure-aware point cloud generation framework that explicitly models part composition and symmetry. Unlike prior methods that treat sha…

cs.CV2025

Multigranular Evaluation for Brain Visual Decoding

Weihao Xia, Cengiz Oztireli

Existing evaluation protocols for brain visual decoding predominantly rely on coarse metrics that obscure inter-model differences, lack neuroscientific foundation, and fail to capt…

cs.CV2025

Exploring The Visual Feature Space for Multimodal Neural Decoding

Weihao Xia, Cengiz Oztireli

The intrication of brain signals drives research that leverages multimodal AI to align brain modalities with visual and textual data for explainable descriptions. However, most exi…

cs.CV2025

RETRO: REthinking Tactile Representation Learning with Material PriOrs

Weihao Xia, Chenliang Zhou, Cengiz Oztireli

Tactile perception is profoundly influenced by the surface properties of objects in contact. However, despite their crucial role in shaping tactile experiences, these material char…