Trending Research
Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians
Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups.
Efficient Large Language Models: A Survey
aiot-mlsys-lab/efficientllms
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Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding, language generation, and complex reasoning and have the potential to make a substantial impact on our society.
Aligning and Prompting Everything All at Once for Universal Visual Perception
shenyunhang/ape
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However, predominant paradigms, driven by casting instance-level tasks as an object-word alignment, bring heavy cross-modality interaction, which is not effective in prompting object detection and visual grounding.
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
Single image depth estimation is a foundational task in computer vision and generative modeling.
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
sunzey/alphaclip
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Alpha-CLIP not only preserves the visual recognition ability of CLIP but also enables precise control over the emphasis of image contents.
OneLLM: One Framework to Align All Modalities with Language
csuhan/onellm
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In detail, we first train an image projection module to connect a vision encoder with LLM.
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators
For appearance control, we borrow intermediate latents and their features from the text-to-image (T2I) generation for ensuring the generated first frame is equal to the given generated image.
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Specifically, we introduce Step-wise Variation Regularization to enforce the proportion between the variations of an arbitrary input latent and that of the output image is a constant at any diffusion training step.
Can LLMs Follow Simple Rules?
As Large Language Models (LLMs) are deployed with increasing real-world responsibilities, it is important to be able to specify and constrain the behavior of these systems in a reliable manner.
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Agent-based modeling has been around for decades, and applied widely across the social and natural sciences.
