Most Cited 2024 Highlight "radiology report generation" Papers
12,324 papers found • Page 1 of 62
Conference
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Shilong Liu, Zhaoyang Zeng, Tianhe Ren et al.
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
DETRs Beat YOLOs on Real-time Object Detection
Yian Zhao, Wenyu Lv, Shangliang Xu et al.
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Zhe Chen, Jiannan Wu, Wenhai Wang et al.
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion
Chong Mou, Xintao Wang, Liangbin Xie et al.
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Xin Li, Jing Yu Koh, Alexander Ku et al.
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang et al.
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia et al.
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shihao Liang, Yining Ye et al.
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Guanjun Wu, Taoran Yi, Jiemin Fang et al.
Grounding Multimodal Large Language Models to the World
Zhiliang Peng, Wenhui Wang, Li Dong et al.
VBench: Comprehensive Benchmark Suite for Video Generative Models
Ziqi Huang, Yinan He, Jiashuo Yu et al.
A Generalist Agent
Jackie Kay, Sergio Gómez Colmenarejo, Mahyar Bordbar et al.
MVDream: Multi-view Diffusion for 3D Generation
Yichun Shi, Peng Wang, Jianglong Ye et al.
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
Kunchang Li, Yali Wang, Yinan He et al.
LISA: Reasoning Segmentation via Large Language Model
Xin Lai, Zhuotao Tian, Yukang Chen et al.
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
Ziyi Yang, Xinyu Gao, Wen Zhou et al.
VILA: On Pre-training for Visual Language Models
Ji Lin, Danny Yin, Wei Ping et al.
Adversarial Diffusion Distillation
Axel Sauer, Dominik Lorenz, Andreas Blattmann et al.
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen et al.
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
Qinghao Ye, Haiyang Xu, Jiabo Ye et al.
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
Tao Lu, Mulin Yu, Linning Xu et al.
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
Shengbang Tong, Zhuang Liu, Yuexiang Zhai et al.
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Longhui Yu, Weisen JIANG, Han Shi et al.
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Boyuan Chen, Zhuo Xu, Sean Kirmani et al.
One-step Diffusion with Distribution Matching Distillation
Tianwei Yin, Michaël Gharbi, Richard Zhang et al.
Language Model Beats Diffusion - Tokenizer is key to visual generation
Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu et al.
Grounding Image Matching in 3D with MASt3R
Vincent Leroy, Yohann Cabon, Jerome Revaud
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
David Charatan, Sizhe Lester Li, Andrea Tagliasacchi et al.
Patches Are All You Need?
Asher Trockman, J Kolter
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM
Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula et al.
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Weize Chen, Yusheng Su, Jingwei Zuo et al.
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Renrui Zhang, Dongzhi Jiang, Yichi Zhang et al.
Eureka: Human-Level Reward Design via Coding Large Language Models
Yecheng Jason Ma, William Liang, Guanzhi Wang et al.
Benchmarking Large Language Models in Retrieval-Augmented Generation
Jiawei Chen, Hongyu Lin, Xianpei Han et al.
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Enxin Song, Wenhao Chai, Guanhong Wang et al.
CoTracker: It is Better to Track Together
Nikita Karaev, Ignacio Rocco, Ben Graham et al.
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng, Hang Zhang, Guanzheng Chen et al.
SALMONN: Towards Generic Hearing Abilities for Large Language Models
Changli Tang, Wenyi Yu, Guangzhi Sun et al.
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Zeyu Yang, Hongye Yang, Zijie Pan et al.
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
Nanye Ma, Mark Goldstein, Michael Albergo et al.
Generative Multimodal Models are In-Context Learners
Quan Sun, Yufeng Cui, Xiaosong Zhang et al.
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Bowen Wen, Wei Yang, Jan Kautz et al.
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia et al.
YaRN: Efficient Context Window Extension of Large Language Models
Bowen Peng, Jeffrey Quesnelle, Honglu Fan et al.
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Yi Wang, Yinan He, Yizhuo Li et al.
MobileNetV4: Universal Models for the Mobile Ecosystem
Danfeng Qin, Chas Leichner, Manolis Delakis et al.
VideoMamba: State Space Model for Efficient Video Understanding
Kunchang Li, Xinhao Li, Yi Wang et al.
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models
Zhang Li, Biao Yang, Qiang Liu et al.
Universal Guidance for Diffusion Models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild et al.
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
Seungone Kim, Jamin Shin, yejin cho et al.
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge, Yunan Zhang, Liyuan Liu et al.
Large Language Models Are Not Robust Multiple Choice Selectors
Chujie Zheng, Hao Zhou, Fandong Meng et al.
InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
Jing Shi, Wei Xiong, Zhe Lin et al.
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
Qidong Huang, Xiaoyi Dong, Pan Zhang et al.
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
Chi Yan, Delin Qu, Dong Wang et al.
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
Yuedong Chen, Haofei Xu, Chuanxia Zheng et al.
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
Shuhuai Ren, Linli Yao, Shicheng Li et al.
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
Peng Jin, Ryuichi Takanobu, Cai Zhang et al.
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
Tianrui Guan, Fuxiao Liu, Xiyang Wu et al.
Compact 3D Gaussian Representation for Radiance Field
Joo Chan Lee, Daniel Rho, Xiangyu Sun et al.
Evaluating Text-to-Visual Generation with Image-to-Text Generation
Zhiqiu Lin, Deepak Pathak, Baiqi Li et al.
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
Tianyu Yu, Yuan Yao, Haoye Zhang et al.
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
Bin Zhu, Bin Lin, Munan Ning et al.
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
Liang Chen, Haozhe Zhao, Tianyu Liu et al.
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace et al.
Preference Ranking Optimization for Human Alignment
Feifan Song, Bowen Yu, Minghao Li et al.
Learning Interactive Real-World Simulators
Sherry Yang, Yilun Du, Seyed Ghasemipour et al.
ControlVideo: Training-free Controllable Text-to-video Generation
Yabo Zhang, Yuxiang Wei, Dongsheng jiang et al.
Text-to-3D using Gaussian Splatting
Zilong Chen, Feng Wang, Yikai Wang et al.
Human Motion Diffusion as a Generative Prior
Yonatan Shafir, Guy Tevet, Roy Kapon et al.
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Shijie Zhou, Haoran Chang, Sicheng Jiang et al.
V?: Guided Visual Search as a Core Mechanism in Multimodal LLMs
Penghao Wu, Saining Xie
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, WeiHsiang Liao et al.
GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
Yiwen Chen, Zilong Chen, Chi Zhang et al.
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang et al.
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew et al.
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
Vikram Voleti, Chun-Han Yao, Mark Boss et al.
Splatter Image: Ultra-Fast Single-View 3D Reconstruction
Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi
Vision-Language Foundation Models as Effective Robot Imitators
Xinghang Li, Minghuan Liu, Hanbo Zhang et al.
Video-P2P: Video Editing with Cross-attention Control
Shaoteng Liu, Yuechen Zhang, Wenbo Li et al.
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Guan Wang, Sijie Cheng, Xianyuan Zhan et al.
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jun Hao Liew et al.
BLINK: Multimodal Large Language Models Can See but Not Perceive
Xingyu Fu, Yushi Hu, Bangzheng Li et al.
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky et al.
SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
Yihua Huang, Yangtian Sun, Ziyi Yang et al.
TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen, Hao Su, Xiaolong Wang
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
Zehao Zhu, Zhiwen Fan, Yifan Jiang et al.
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Saleh Ashkboos, Maximilian Croci, Marcelo Gennari do Nascimento et al.
PointLLM: Empowering Large Language Models to Understand Point Clouds
Runsen Xu, Xiaolong Wang, Tai Wang et al.
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou, Guansong Pang, Yu Tian et al.
ReconFusion: 3D Reconstruction with Diffusion Priors
Rundi Wu, Ben Mildenhall, Philipp Henzler et al.
DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior
Xinqi Lin, Jingwen He, Ziyan Chen et al.
Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos
Yue Ma, Yingqing HE, Xiaodong Cun et al.
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
Gengze Zhou, Yicong Hong, Qi Wu
DreamLLM: Synergistic Multimodal Comprehension and Creation
Runpei Dong, chunrui han, Yuang Peng et al.
Provable Robust Watermarking for AI-Generated Text
Xuandong Zhao, Prabhanjan Ananth, Lei Li et al.
Photorealistic Video Generation with Diffusion Models
Agrim Gupta, Lijun Yu, Kihyuk Sohn et al.
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis et al.
NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving
Tianwen Qian, Jingjing Chen, Linhai Zhuo et al.
Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers
Zi-Xin Zou, Zhipeng Yu, Yuan-Chen Guo et al.
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
Lu Ling, Yichen Sheng, Zhi Tu et al.
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma, Gongfan Fang, Xinchao Wang
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Chongyu Fan, Jiancheng Liu, Yihua Zhang et al.
Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma et al.
GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
Yinghao Xu, Zifan Shi, Wang Yifan et al.
MedSegDiff-V2: Diffusion-based Medical Image Segmentation with Transformer
Junde Wu, Wei Ji, Huazhu Fu et al.
Detecting and Preventing Hallucinations in Large Vision Language Models
Anisha Gunjal, Jihan Yin, Erhan Bas
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
Rongyuan Wu, Tao Yang, Lingchen Sun et al.
On Scaling Up a Multilingual Vision and Language Model
Xi Chen, Josip Djolonga, Piotr Padlewski et al.
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon Wood, Abhishek Das et al.
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie, Kai Zhang, Jiangjie Chen et al.
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier et al.
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
Kai Zhang, Sai Bi, Hao Tan et al.
VTimeLLM: Empower LLM to Grasp Video Moments
Bin Huang, Xin Wang, Hong Chen et al.
Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization
Tao Yang, Rongyuan Wu, Peiran Ren et al.
GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
Taoran Yi, Jiemin Fang, Junjie Wang et al.
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Yunyang Xiong, Balakrishnan Varadarajan, Lemeng Wu et al.
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
Shelly Sheynin, Adam Polyak, Uriel Singer et al.
RoMa: Robust Dense Feature Matching
Johan Edstedt, Qiyu Sun, Georg Bökman et al.
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Yaofang Liu, Xiaodong Cun, Xuebo Liu et al.
SaProt: Protein Language Modeling with Structure-aware Vocabulary
Jin Su, Chenchen Han, Yuyang Zhou et al.
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
Xin Guo, Jiangwei Lao, Bo Dang et al.
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Hongtao Wu, Ya Jing, Chilam Cheang et al.
Omni-Kernel Network for Image Restoration
Yuning Cui, Wenqi Ren, Alois Knoll
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
Xiaofeng Wang, Zheng Zhu, Guan Huang et al.
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
Shenhao Zhu, Junming Chen, Zuozhuo Dai et al.
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
Jiahe Li, Jiawei Zhang, Xiao Bai et al.
Language Models Represent Space and Time
Wes Gurnee, Max Tegmark
Knowledge Graph Prompting for Multi-Document Question Answering
Yu Wang, Nedim Lipka, Ryan A. Rossi et al.
Sequential Modeling Enables Scalable Learning for Large Vision Models
Yutong Bai, Xinyang Geng, Karttikeya Mangalam et al.
GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
Yingwenqi Jiang, Jiadong Tu, Yuan Liu et al.
DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
Yinghao Xu, Hao Tan, Fujun Luan et al.
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Xuhui Zhou, Hao Zhu, Leena Mathur et al.
Segment and Recognize Anything at Any Granularity
Feng Li, Hao Zhang, Peize Sun et al.
PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Junsong Chen, Chongjian GE, Enze Xie et al.
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
Xiao Fu, Wei Yin, Mu Hu et al.
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
Fangyuan Xu, Weijia Shi, Eunsol Choi
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Hong Liu, Zhiyuan Li, David Hall et al.
Listen, Think, and Understand
Yuan Gong, Hongyin Luo, Alexander Liu et al.
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Linrui Tian, Qi Wang, Bang Zhang et al.
Data Filtering Networks
Alex Fang, Albin Madappally Jose, Amit Jain et al.
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
Yi Wang, Kunchang Li, Xinhao Li et al.
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
Yufei Wang, Wenhan Yang, Xinyuan Chen et al.
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
Zhengyi Wang, Yikai Wang, Yifei Chen et al.
Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
Jiwoo Chung, Sangeek Hyun, Jae-Pil Heo
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
Xinyuan Chen, Yaohui Wang, Lingjun Zhang et al.
A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani, Jiaming Song, Jan Kautz et al.
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
Xavier Puig, Eric Undersander, Andrew Szot et al.
Agent Attention: On the Integration of Softmax and Linear Attention
Dongchen Han, Tianzhu Ye, Yizeng Han et al.
Demystifying CLIP Data
Hu Xu, Saining Xie, Xiaoqing Tan et al.
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue
Songhua Yang, Hanjie Zhao, Senbin Zhu et al.
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Aojun Zhou, Ke Wang, Zimu Lu et al.
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang et al.
Conformal Risk Control
Anastasios Angelopoulos, Stephen Bates, Adam Fisch et al.
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
Le Xue, Ning Yu, Shu Zhang et al.
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Wenbo Hu, Yifan Xu, Yi Li et al.
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
Tao Hu, Stefan Andreas Baumann, Ming Gui et al.
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat et al.
OctoPack: Instruction Tuning Code Large Language Models
Niklas Muennighoff, Qian Liu, Armel Zebaze et al.
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen et al.
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models
Xin Liu, Yichen Zhu, Jindong Gu et al.
Putting the Object Back into Video Object Segmentation
Ho Kei Cheng, Seoung Wug Oh, Brian Price et al.
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
Yang Liu, Chuanchen Luo, Lue Fan et al.
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
Yihang Chen, Qianyi Wu, Weiyao Lin et al.
ReLoRA: High-Rank Training Through Low-Rank Updates
Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde et al.
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu et al.
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Jeongho Kim, Gyojung Gu, Minho Park et al.
On the Reliability of Watermarks for Large Language Models
John Kirchenbauer, Jonas Geiping, Yuxin Wen et al.
Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians
Guangchi Fang, Bing Wang
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang et al.
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding
Jin-Chuan Shi, Miao Wang, Haobin Duan et al.
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models
Yuwei Guo, Ceyuan Yang, Anyi Rao et al.
Sapiens: Foundation for Human Vision Models
Rawal Khirodkar, Timur Bagautdinov, Julieta Martinez et al.
LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images
Zonghao Guo, Ruyi Xu, Yuan Yao et al.
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening
Jack Foster, Stefan Schoepf, Alexandra Brintrup
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
Zhiqi Li, Zhiding Yu, Shiyi Lan et al.
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong et al.
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving
Wenzhao Zheng, Weiliang Chen, Yuanhui Huang et al.
Compositional Chain-of-Thought Prompting for Large Multimodal Models
Chancharik Mitra, Brandon Huang, Trevor Darrell et al.
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
Viraj Shah, Nataniel Ruiz, Forrester Cole et al.
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng LYU et al.
BioCLIP: A Vision Foundation Model for the Tree of Life
Samuel Stevens, Jiaman Wu, Matthew Thompson et al.
SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
Zhijing Shao, Wang Zhaolong, Zhuang Li et al.
Uni3D: Exploring Unified 3D Representation at Scale
Junsheng Zhou, Jinsheng Wang, Baorui Ma et al.
GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions
Junjie Wang, Jiemin Fang, Xiaopeng Zhang et al.
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Shu Zhang, Xinyi Yang, Yihao Feng et al.
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion
Xuan JU, Xian Liu, Xintao Wang et al.
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie et al.
GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis
Shunyuan Zheng, Boyao ZHOU, Ruizhi Shao et al.
Is Self-Repair a Silver Bullet for Code Generation?
Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang et al.
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Niels Mündler, Jingxuan He, Slobodan Jenko et al.
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou et al.
Grounded Text-to-Image Synthesis with Attention Refocusing
Quynh Phung, Songwei Ge, Jia-Bin Huang
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang et al.
BooookScore: A systematic exploration of book-length summarization in the era of LLMs
Yapei Chang, Kyle Lo, Tanya Goyal et al.
Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
Zhiwen Yan, Weng Fei Low, Yu Chen et al.
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
Peng Wang, Hao Tan, Sai Bi et al.