Image: Liao et al
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We introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object.
We present Multi-Garment Network (MGN), a method to predict body shape and clothing, layered on top of the SMPL model from a few frames (1-8) of a video.
We present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontrolled environment.
GSNet utilizes a unique four-way feature extraction and fusion scheme and directly regresses 6DoF poses and shapes in a single forward pass.
Ranked #1 on 3D Car Instance Understanding on ApolloCar3D
3D CAR INSTANCE UNDERSTANDING 3D POSE ESTIMATION 3D RECONSTRUCTION 3D SHAPE MODELING 3D SHAPE RECONSTRUCTION FROM A SINGLE 2D IMAGE 3D SHAPE REPRESENTATION 6D POSE ESTIMATION 6D POSE ESTIMATION USING RGB AUTONOMOUS DRIVING KEYPOINT DETECTION SELF-DRIVING CARS VEHICLE KEY-POINT AND ORIENTATION ESTIMATION VEHICLE POSE ESTIMATION