1 INTRODUCTION

2 DEEP LEARNING BASED DEPTH COMPLETION

3 UNGUIDED DEPTH COMPLETION

4 RGB GUIDED DEPTH COMPLETION

5 LEARNING OBJECTIVES FOR TRAINING MODELS

6 DATASETS AND EVALUATION METRICS

7 EXPERIMENTAL ANALYSES

8 OPEN CHALLENGES AND FUTURE DIRECTIONS

9 CONCLUSION