MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild

Kavli Affiliate: Cheng Peng | First 5 Authors: Deming Li, Deming Li, , , | Summary: In-the-wild photo collections often contain limited volumes of imagery and exhibit multiple appearances, e.g., taken at different times of day or seasons, posing significant challenges to scene reconstruction and novel view synthesis. Although recent adaptations of Neural Radiance Field […]


Continue.. MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild

Detail Across Scales: Multi-Scale Enhancement for Full Spectrum Neural Representations

Kavli Affiliate: Cheng Peng | First 5 Authors: Yuan Ni, Yuan Ni, , , | Summary: Implicit neural representations (INRs) have emerged as a compact and parametric alternative to discrete array-based data representations, encoding information directly in neural network weights to enable resolution-independent representation and memory efficiency. However, existing INR approaches, when constrained to compact […]


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LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models

Kavli Affiliate: Long Zhang | First 5 Authors: Hongyao Tu, Hongyao Tu, , , | Summary: The goal of open relation extraction (OpenRE) is to develop an RE model that can generalize to new relations not encountered during training. Existing studies primarily formulate OpenRE as a clustering task. They first cluster all test instances based […]


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Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models

Kavli Affiliate: Yi Zhou | First 5 Authors: Gaifan Zhang, Gaifan Zhang, , , | Summary: Semantic similarity between two sentences depends on the aspects considered between those sentences. To study this phenomenon, Deshpande et al. (2023) proposed the Conditional Semantic Textual Similarity (C-STS) task and annotated a human-rated similarity dataset containing pairs of sentences […]


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10-W Sub-100-fs Ultrafast Cr:ZnS/ZnSe MOPA System enabled by doping gradient engineering

Kavli Affiliate: Long Zhang | First 5 Authors: Guangzi Feng, Guangzi Feng, , , | Summary: We report on a high-power mid-infrared femtosecond master oscillator power amplifier (MOPA) system, employing Cr:ZnS and Cr:ZnSe polycrystals with fine-tuned doping profiles. Based on the soft-aperture Kerr-lens mode-locking in the soliton regime, the seed oscillator generates ~40-fs pulses with […]


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MemGS: Memory-Efficient Gaussian Splatting for Real-Time SLAM

Kavli Affiliate: Yi Zhou | First 5 Authors: Yinlong Bai, Yinlong Bai, , , | Summary: Recent advancements in 3D Gaussian Splatting (3DGS) have made a significant impact on rendering and reconstruction techniques. Current research predominantly focuses on improving rendering performance and reconstruction quality using high-performance desktop GPUs, largely overlooking applications for embedded platforms like […]


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Thermal states emerging from low-entanglement background in disordered spin models

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yule Ma, Yule Ma, , , | Summary: Thermalization in isolated quantum systems is governed by the eigenstate thermalization hypothesis, while strong disorder can induce its breakdown via many-body localization. Here we show that disorder can also generate a narrow band of thermal eigenstates embedded in an […]


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Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yifan Chang, Yifan Chang, , , | Summary: Vector quantization (VQ) is a key component in discrete tokenizers for image generation, but its training is often unstable due to straight-through estimation bias, one-step-behind updates, and sparse codebook gradients, which lead to suboptimal reconstruction performance and low codebook […]


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SLD-Spec: Enhancement LLM-assisted Specification Generation for Complex Loop Functions via Program Slicing and Logical Deletion

Kavli Affiliate: Long Zhang | First 5 Authors: Zehan Chen, Zehan Chen, , , | Summary: Automatically generating formal specifications from program code can greatly enhance the efficiency of program verification and enable end-to-end automation from requirements to reliable software. However, existing LLM-based approaches often struggle with programs that include complex loop structures, leading to […]


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Bilateral Hydrogenation Realizes High-Temperature Quantum Anomalous Hall Insulator in 2D Cr$_text2$Ge$_text2$Te$_text6$

Kavli Affiliate: Gang Su | First 5 Authors: Xiang Li, Xiang Li, , , | Summary: The pursuit of high-temperature quantum anomalous Hall (QAH) insulators faces fundamental challenges, including narrow topological gaps and low Curie temperatures ($T_textC$) in existing materials. Here, we propose a transformative strategy using bilateral hydrogenation to engineer a robust QAH state […]


Continue.. Bilateral Hydrogenation Realizes High-Temperature Quantum Anomalous Hall Insulator in 2D Cr$_text2$Ge$_text2$Te$_text6$