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Found 5 papers, 0 papers with code
Re-Thinking Inverse Graphics With Large Language Models
Inverse graphics -- the task of inverting an image into physical variables that, when rendered, enable reproduction of the observed scene -- is a fundamental challenge in computer vision and graphics.
Explorative Inbetweening of Time and Space
We introduce bounded generation as a generalized task to control video generation to synthesize arbitrary camera and subject motion based only on a given start and end frame.
Adversarial Likelihood Estimation With One-Way Flows
Generative Adversarial Networks (GANs) can produce high-quality samples, but do not provide an estimate of the probability density around the samples.
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance
Learning-based methods address this but do not generalize well when the input pose is far from those seen during training.
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Our experimental results show significant improvement compared to state-of-the-art methods on albedo estimation, both in terms of accuracy and fairness.
