Trending Research
3D Gaussian Splatting for Real-Time Radiance Field Rendering
graphdeco-inria/gaussian-splatting
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Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos.
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
stanfordnlp/dspy
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Retrieval-augmented in-context learning has emerged as a powerful approach for addressing knowledge-intensive tasks using frozen language models (LM) and retrieval models (RM).
FreeU: Free Lunch in Diffusion U-Net
ChenyangSi/FreeU
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In this paper, we uncover the untapped potential of diffusion U-Net, which serves as a "free lunch" that substantially improves the generation quality on the fly.
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
dreamgaussian/dreamgaussian
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In contrast to the occupancy pruning used in Neural Radiance Fields, we demonstrate that the progressive densification of 3D Gaussians converges significantly faster for 3D generative tasks.
Agents: An Open-source Framework for Autonomous Language Agents
Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interfaces.
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
caiyuanhao1998/retinexformer
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ICCV 2023
When enhancing low-light images, many deep learning algorithms are based on the Retinex theory.
Ranked #1 on
Low-Light Image Enhancement
on LOL-v2-synthetic
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Recently years have witnessed a rapid development of large language models (LLMs).
Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale Models
To address these challenges, we introduce a system that can jointly optimize distributed execution and gradient checkpointing plans.
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
huawei-noah/Efficient-Computing
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In the past years, YOLO-series models have emerged as the leading approaches in the area of real-time object detection.
Ranked #3 on
Object Detection
on COCO 2017 val
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
A holistic human dataset inevitably has insufficient and low-resolution information on local parts.
