Trending Research
Generalizable and Animatable Gaussian Head Avatar
xg-chu/gagavatar
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In this paper, we propose Generalizable and Animatable Gaussian head Avatar (GAGAvatar) for one-shot animatable head avatar reconstruction.
Fast Feedforward 3D Gaussian Splatting Compression
With 3D Gaussian Splatting (3DGS) advancing real-time and high-fidelity rendering for novel view synthesis, storage requirements pose challenges for their widespread adoption.
Libra: Building Decoupled Vision System on Large Language Models
yifanxu74/libra
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Specifically, we incorporate a routed visual expert with a cross-modal bridge module into a pretrained LLM to route the vision and language flows during attention computing to enable different attention patterns in inner-modal modeling and cross-modal interaction scenarios.
AgentKit: Structured LLM Reasoning with Dynamic Graphs
The chains of nodes can be designed to explicitly enforce a naturally structured "thought process".
PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling
In this paper, we introduce PDF-WuKong, a multimodal large language model (MLLM) which is designed to enhance multimodal question-answering (QA) for long PDF documents.
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Building on this insight, we propose Rectified Diffusion, which generalizes the design space and application scope of rectification to encompass the broader category of diffusion models, rather than being restricted to flow-matching models.
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
microsoft/vptq
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Due to the redundancy in LLM weights, recent research has focused on pushing weight-only quantization to extremely low-bit (even down to 2 bits).
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
shikiw/modality-integration-rate
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We present the Modality Integration Rate (MIR), an effective, robust, and generalized metric to indicate the multi-modal pre-training quality of Large Vision Language Models (LVLMs).
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
IterComp opens new research avenues in reward feedback learning for diffusion models and compositional generation.
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
microsoft/windowsagentarena
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To demonstrate Windows Agent Arena's capabilities, we also introduce a new multi-modal agent, Navi.
