Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...
IEEE

Self-Supervised Learning of Reconstructing Deformable Linear Objects Under Single-Frame Occluded View

Abstract: Deformable linear objects (DLOs), such as ropes, cables, and rods, are common in various scenarios, and accurate occlusion reconstruction of them is crucial for effective robotic ...
IEEE

Self-Supervised Uncertainty-Guided Refinement for Robust Joint Optical Flow and Depth Estimation

Abstract: Jointly estimating the optical flow and depth tasks in real-world scenes presents considerable hurdles due to some phenomena, such as occlusion, ambiguous textures, and illumination ...