6 papers
Telescopic Language Models
Zhilin Guo, Boqiao Zhang, Hakan Aktas +14
One deployed language model must often serve many compute budgets, yet serving each budget still means a separate training or compression run per point. We train a Telescopic Langu…
Reliability-Gated Fusion of Consumer Head and Foot IMUs for Lower-Body 3D Pose
Zhilin Guo, Boqiao Zhang, Oszkár Urbán +8
Sparse inertial pose estimation promises camera-free motion capture from consumer devices, but consumer sensors are unreliable: firmware-fused orientations are biased, mounting var…
One Sensor, Whole Body - 3D Body Pose from a Single Consumer Earbud IMU
Zhilin Guo, Boqiao Zhang, Oszkár Urbán +8
Consumer earbuds already stream inertial motion data from the head, one of the most widely worn sensor locations on the body. We ask how much of the 3D body pose a single such head…
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…
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…
Twist and Compute: The Cost of Pose in 3D Generative Diffusion
Kyle Fogarty, Jack Foster, Boqiao Zhang +2
Despite their impressive results, large-scale image-to-3D generative models remain opaque in their inductive biases. We identify a significant limitation in image-conditioned 3D ge…