generation

A fisheye-aware transformer-based model designed for 3D egocentric human mesh recovery. We propose an egocentric position embedding block to generate an ego-specific position table for the Swin Transformer to reduce fisheye image distortion.

Apply the GAN to generate the layout of the furniture in the bedroom, living room, dining room and bath room.

We utilize the solutions of Monge–Ampère Partial Differential Equation (MAPDE) as the new loss function of WGAN to make the training process more stable.