Posted on December 10, 2021April 29, 2022Current Results Qualitative Comparisons for Shape Completion Figure 1. Qualitative results for Shape Completion. Our proposed approach is able to generate diverse plausible 3D shapes consistent with the partial input. The generated shapes are visually consistent with realistic shapes even with significantly missing parts( in Red) Qualitative Comparisons for Single View Reconstruction Figure 2. Single-view 3D reconstruction. We visualize multiple shapes predicted by our approach given the input images. We observe meaningful shape variation in the unobserved regions e.g. front of chair in left image. Qualitative Comparisons for Language based Generations Figure 3. Language Conditioned Generation. The results signify that our approach can meaningfully estimate the correlation between input description and correspondingly plausible shapes while simultaneously generate the missing context required to generate them. For more of our amazing results please visit here.