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Found 6 papers, 4 papers with code
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Rectified flow is a recent generative model formulation that connects data and noise in a straight line.
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
We then explore the impact of finetuning our base model on high-quality data and train a text-to-video model that is competitive with closed-source video generation.
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes
Given a scene image with a marked region and an image of a person, we insert the person into the scene while respecting the scene affordances.
Programmatic Concept Learning for Human Motion Description and Synthesis
We introduce Programmatic Motion Concepts, a hierarchical motion representation for human actions that captures both low-level motion and high-level description as motion concepts.
Hierarchical Motion Understanding via Motion Programs
We posit that adding higher-level motion primitives, which can capture natural coarser units of motion such as backswing or follow-through, can be used to improve downstream analysis tasks.
SPoC: Search-based Pseudocode to Code
Given test cases as a mechanism to validate programs, we search over the space of possible translations of the pseudocode to find a program that passes the validation.
Ranked #2 on
Program Synthesis
on SPoC TestP
