Oceania
UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene Jiaming Gu
Neural Radiance Field (NeRF) is an implicit 3D reconstruction method that has shown immense potential and has gained significant attention for its ability to reconstruct 3D scenes solely from a set of photographs.
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
In this work, we study the low-rank MDPs with adversarially changed losses in the full-information feedback setting.
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
In this case, accurately recognizing the action requires richer contextual information from the background and surroundings.
Stable Diffusion is Unstable
Recently, text-to-image models have been thriving. Despite their powerful generative capacity, our research has uncovered a lack of robustness in this generation process.
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
In light of the recent widespread adoption of AI systems, understanding the internal information processing of neural networks has become increasingly critical.