Tag
MemLearner proposes a learning-based adaptive context query method using query tokens to improve scene consistency and memory in video world models, particularly for long sequences with occlusions and dynamic objects.
Lift4D is a test-time optimization framework that reconstructs complete 4D geometry, appearance, and deformation of dynamic objects from a single monocular in-the-wild video, improving over prior methods on challenging sequences with occlusions and non-rigid motion.