Trending Research
Scalable Pre-training of Large Autoregressive Image Models
Specifically, we highlight two key findings: (1) the performance of the visual features scale with both the model capacity and the quantity of data, (2) the value of the objective function correlates with the performance of the model on downstream tasks.
Ranked #343 on
Image Classification
on ImageNet
3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation.
Segment Anything without Supervision
By integrating our unsupervised pseudo masks into SA-1B's ground-truth masks and training UnSAM with only 1% of SA-1B, a lightly semi-supervised UnSAM can often segment entities overlooked by supervised SAM, exceeding SAM's AR by over 6. 7% and AP by 3. 9% on SA-1B.
Ranked #1 on
Segmentation
on SA-1B
GeoCalib: Learning Single-image Calibration with Geometric Optimization
cvg/geocalib
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This single-image calibration can benefit various downstream applications like image editing and 3D mapping.
Reinforcement Learning Meets Visual Odometry
Despite recent advances, existing VO methods still rely on heuristic design choices that require several weeks of hyperparameter tuning by human experts, hindering generalizability and robustness.
A Survey on the Honesty of Large Language Models
Honesty is a fundamental principle for aligning large language models (LLMs) with human values, requiring these models to recognize what they know and don't know and be able to faithfully express their knowledge.
Fast Inference from Transformers via Speculative Decoding
Inference from large autoregressive models like Transformers is slow - decoding K tokens takes K serial runs of the model.
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
thudm/longwriter
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By incorporating this dataset into model training, we successfully scale the output length of existing models to over 10, 000 words while maintaining output quality.
Grounding Image Matching in 3D with MASt3R
naver/mast3r
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Image Matching is a core component of all best-performing algorithms and pipelines in 3D vision.
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
cshaitao/lexeval
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Applying existing LLMs to legal systems without careful evaluation of their potential and limitations could pose significant risks in legal practice.
