Trending Research
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
In this paper, we present Vista, a generalizable driving world model with high fidelity and versatile controllability.
Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis
zhangzc21/dyntet
•
•
Recent works in implicit representations, such as Neural Radiance Fields (NeRF), have advanced the generation of realistic and animatable head avatars from video sequences.
Improving the Training of Rectified Flows
sangyun884/rfpp
•
•
In this work, we propose improved techniques for training rectified flows, allowing them to compete with knowledge distillation methods even in the low NFE setting.
LLMs Meet Multimodal Generation and Editing: A Survey
yingqinghe/awesome-llms-meet-multimodal-generation
•
•
With the recent advancement in large language models (LLMs), there is a growing interest in combining LLMs with multimodal learning.
Improved Distribution Matching Distillation for Fast Image Synthesis
tianweiy/DMD2
•
•
Recent approaches have shown promises distilling diffusion models into efficient one-step generators.
Efficient Multimodal Large Language Models: A Survey
In the past year, Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance in tasks such as visual question answering, visual understanding and reasoning.
Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras
In addition to actively densifying hyper primitives based on geometric features, we further introduce a Gaussian-Pyramid-based training method to progressively learn multi-level features, enhancing photorealistic mapping performance.
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Creating high-quality scientific figures can be time-consuming and challenging, even though sketching ideas on paper is relatively easy.
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation
Recent talking avatar generation models have made strides in achieving realistic and accurate lip synchronization with the audio, but often fall short in controlling and conveying detailed expressions and emotions of the avatar, making the generated video less vivid and controllable.
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Data-driven artificial intelligence (AI) models have made significant advancements in weather forecasting, particularly in medium-range and nowcasting.
