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Found 6 papers, 4 papers with code
Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions
Namely, we extend NeuS, a state-of-the-art neural implicit function formulation, to represent multiple objects of a class (human heads in our case) simultaneously.
NPBG++: Accelerating Neural Point-Based Graphics
We present a new system (NPBG++) for the novel view synthesis (NVS) task that achieves high rendering realism with low scene fitting time.
Multi-sensor large-scale dataset for multi-view 3D reconstruction
We expect our dataset will be useful for evaluation and training of 3D reconstruction algorithms and for related tasks.
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes
We propose Deep Estimators of Features (DEFs), a learning-based framework for predicting sharp geometric features in sampled 3D shapes.
Making DensePose fast and light
DensePose estimation task is a significant step forward for enhancing user experience computer vision applications ranging from augmented reality to cloth fitting.
Latent Video Transformer
After the transformation of frames into the latent space, our model predicts latent representation for the next frames in an autoregressive manner.
Ranked #13 on
Video Prediction
on Kinetics-600 12 frames, 64x64
