DCIRNet fuses RGB and sparse depth via a dual-branch Swin Transformer plus iterative spatial propagation, improving depth completion on DREDS/TransCG and raising DexGraspNetV2 grasp success from 38% to 82% on ten transparent/reflective objects.
Evo-nerf: Evolving nerf for sequen- tial robot grasping of transparent objects,
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DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects
DCIRNet fuses RGB and sparse depth via a dual-branch Swin Transformer plus iterative spatial propagation, improving depth completion on DREDS/TransCG and raising DexGraspNetV2 grasp success from 38% to 82% on ten transparent/reflective objects.