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Found 9 papers, 4 papers with code
VideoGigaGAN: Towards Detail-rich Video Super-Resolution
We introduce VideoGigaGAN, a new generative VSR model that can produce videos with high-frequency details and temporal consistency.
PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
We observe that the texture patches of images tend to reveal more traces left by generative models compared to the global semantic information of the images.
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
Our adaptive reweighing method prioritizes samples closer to the decision boundary and assigns a higher weight to improve the generalizability of fair classifiers.
Dynamic Mesh-Aware Radiance Fields
Embedding polygonal mesh assets within photorealistic Neural Radience Fields (NeRF) volumes, such that they can be rendered and their dynamics simulated in a physically consistent manner with the NeRF, is under-explored from the system perspective of integrating NeRF into the traditional graphics pipeline.
Text-driven Visual Synthesis with Latent Diffusion Prior
There has been tremendous progress in large-scale text-to-image synthesis driven by diffusion models enabling versatile downstream applications such as 3D object synthesis from texts, image editing, and customized generation.
In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
3D-aware GANs offer new capabilities for view synthesis while preserving the editing functionalities of their 2D counterparts.
Temporally Consistent Semantic Video Editing
Generative adversarial networks (GANs) have demonstrated impressive image generation quality and semantic editing capability of real images, e. g., changing object classes, modifying attributes, or transferring styles.
Explainable Object-induced Action Decision for Autonomous Vehicles
The new paradigm lies between the end-to-end and pipelined approaches, and is inspired by how humans solve the problem.
Submodular Load Clustering with Robust Principal Component Analysis
Traditional load analysis is facing challenges with the new electricity usage patterns due to demand response as well as increasing deployment of distributed generations, including photovoltaics (PV), electric vehicles (EV), and energy storage systems (ESS).
