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[2406.02383] Learning to Edit Visual Programs with Self-Supervision
https://arxiv.org/abs/2406.02383
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[2405.15217] NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation
https://arxiv.org/abs/2405.15217
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[2207.00026] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
https://arxiv.org/abs/2207.00026
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[2412.15689] DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization
https://arxiv.org/abs/2412.15689
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[2412.12463] Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy
https://arxiv.org/abs/2412.12463
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[2412.15211] Generative Multiview Relighting for 3D Reconstruction under Extreme Illumination Variat
https://arxiv.org/abs/2412.15211
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[2312.10540] VecFusion: Vector Font Generation with Diffusion
https://arxiv.org/abs/2312.10540
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[2409.17146] Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
https://arxiv.org/abs/2409.17146
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[2412.13196] ExBody2: Advanced Expressive Humanoid Whole-Body Control
https://arxiv.org/abs/2412.13196
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[2112.03857] Grounded Language-Image Pre-training
https://arxiv.org/abs/2112.03857
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[2408.03326] LLaVA-OneVision: Easy Visual Task Transfer
https://arxiv.org/abs/2408.03326
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[2207.10662] Generalizable Patch-Based Neural Rendering
https://arxiv.org/abs/2207.10662
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[2104.02244] Content-Aware GAN Compression
https://arxiv.org/abs/2104.02244
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[2406.09417] Rethinking Score Distillation as a Bridge Between Image Distributions
https://arxiv.org/abs/2406.09417
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[2404.13026] PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
https://arxiv.org/abs/2404.13026
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[1906.07927] SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
https://arxiv.org/abs/1906.07927
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[2503.15586] How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse
https://arxiv.org/abs/2503.15586
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[2503.14445] Bolt3D: Generating 3D Scenes in Seconds
https://arxiv.org/abs/2503.14445
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[2408.00771] 2D Neural Fields with Learned Discontinuities
https://arxiv.org/abs/2408.00771
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[2503.04036] Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
https://arxiv.org/abs/2503.04036
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[2505.05473] DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion
https://arxiv.org/abs/2505.05473
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[2303.04803] Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
https://arxiv.org/abs/2303.04803
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[2112.09106] RegionCLIP: Region-based Language-Image Pretraining
https://arxiv.org/abs/2112.09106
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[2410.13832] VidPanos: Generative Panoramic Videos from Casual Panning Videos
https://arxiv.org/abs/2410.13832
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[1910.04760] A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-
https://arxiv.org/abs/1910.04760
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[2001.07685] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
https://arxiv.org/abs/2001.07685
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[2303.15951] F$^{2}$-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
https://arxiv.org/abs/2303.15951
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[2407.01878] Compare without Despair: Reliable Preference Evaluation with Generation Separability
https://arxiv.org/abs/2407.01878
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[2209.06293] Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New York
https://arxiv.org/abs/2209.06293
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[2311.17061] HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting
https://arxiv.org/abs/2311.17061
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[1907.09273] Why Build an Assistant in Minecraft?
https://arxiv.org/abs/1907.09273
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[1910.07969] On Completeness-aware Concept-Based Explanations in Deep Neural Networks
https://arxiv.org/abs/1910.07969
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[2402.00838] OLMo: Accelerating the Science of Language Models
https://arxiv.org/abs/2402.00838
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[2408.15239] Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
https://arxiv.org/abs/2408.15239
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[2502.15989] Mean-Shift Distillation for Diffusion Mode Seeking
https://arxiv.org/abs/2502.15989
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[2507.06187] The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains
https://arxiv.org/abs/2507.06187
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[2506.07643] Synthetic Visual Genome
https://arxiv.org/abs/2506.07643
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[2403.02543] PDQMA = DQMA = NEXP: QMA With Hidden Variables and Non-collapsing Measurements
https://arxiv.org/abs/2403.02543
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[2407.00369] How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
https://arxiv.org/abs/2407.00369
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[2311.02542] VR-NeRF: High-Fidelity Virtualized Walkable Spaces
https://arxiv.org/abs/2311.02542
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[2401.09416] TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion
https://arxiv.org/abs/2401.09416
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[2502.15242] Agonistic Image Generation: Unsettling the Hegemony of Intention
https://arxiv.org/abs/2502.15242
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[2504.08591] ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration
https://arxiv.org/abs/2504.08591
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[2406.16008] Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utiliz
https://arxiv.org/abs/2406.16008
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[2306.09224] Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
https://arxiv.org/abs/2306.09224
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[2406.08332] UDON: Universal Dynamic Online distillatioN for generic image representations
https://arxiv.org/abs/2406.08332
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[2412.03937] AIpparel: A Multimodal Foundation Model for Digital Garments
https://arxiv.org/abs/2412.03937
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[1612.06321] Large-Scale Image Retrieval with Attentive Deep Local Features
https://arxiv.org/abs/1612.06321
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[2502.10377] ReStyle3D: Scene-Level Appearance Transfer with Semantic Correspondences
https://arxiv.org/abs/2502.10377
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[2001.05027] Unifying Deep Local and Global Features for Image Search
https://arxiv.org/abs/2001.05027
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[2309.03453] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
https://arxiv.org/abs/2309.03453
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[2405.11881] Out-of-Distribution Detection with a Single Unconditional Diffusion Model
https://arxiv.org/abs/2405.11881
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[2407.21121] Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
https://arxiv.org/abs/2407.21121
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[2412.00905] Ref-GS: Directional Factorization for 2D Gaussian Splatting
https://arxiv.org/abs/2412.00905
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[2405.12979] OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
https://arxiv.org/abs/2405.12979
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[2506.05282] Rectified Point Flow: Generic Point Cloud Pose Estimation
https://arxiv.org/abs/2506.05282
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[2412.21079] Edicho: Consistent Image Editing in the Wild
https://arxiv.org/abs/2412.21079
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[2111.11432] Florence: A New Foundation Model for Computer Vision
https://arxiv.org/abs/2111.11432
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[2406.09408] Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
https://arxiv.org/abs/2406.09408
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[2304.04848] Neural Lens Modeling
https://arxiv.org/abs/2304.04848
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[2308.16891] GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
https://arxiv.org/abs/2308.16891
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[2306.09012] Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual
https://arxiv.org/abs/2306.09012
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[1912.04421] Basis Prediction Networks for Effective Burst Denoising with Large Kernels
https://arxiv.org/abs/1912.04421
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[2304.09479] DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows
https://arxiv.org/abs/2304.09479
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[2308.06954] Global Features are All You Need for Image Retrieval and Reranking
https://arxiv.org/abs/2308.06954
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[1804.03281] Recurrent Neural Networks for Person Re-identification Revisited
https://arxiv.org/abs/1804.03281
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[2412.13185] Move-in-2D: 2D-Conditioned Human Motion Generation
https://arxiv.org/abs/2412.13185
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[2308.07926] CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
https://arxiv.org/abs/2308.07926
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[2405.17414] Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control
https://arxiv.org/abs/2405.17414
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[1403.2805] The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects
https://arxiv.org/abs/1403.2805
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[2404.19174] XFeat: Accelerated Features for Lightweight Image Matching
https://arxiv.org/abs/2404.19174
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[2404.12333] Customizing Text-to-Image Diffusion with Object Viewpoint Control
https://arxiv.org/abs/2404.12333
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[2304.00583] Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoint
https://arxiv.org/abs/2304.00583
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[2305.02301] Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data a
https://arxiv.org/abs/2305.02301
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[2405.14871] NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections
https://arxiv.org/abs/2405.14871
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[2501.10021] X-Dyna: Expressive Dynamic Human Image Animation
https://arxiv.org/abs/2501.10021
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[1812.01584] Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
https://arxiv.org/abs/1812.01584
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[2310.17994] ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image
https://arxiv.org/abs/2310.17994
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[2004.01804] Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition a
https://arxiv.org/abs/2004.01804
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[2309.08250] Optimization of Rank Losses for Image Retrieval
https://arxiv.org/abs/2309.08250
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[2104.05279] Class-Balanced Distillation for Long-Tailed Visual Recognition
https://arxiv.org/abs/2104.05279
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[2404.05465] HAMMR: HierArchical MultiModal React agents for generic VQA
https://arxiv.org/abs/2404.05465
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[2302.06833] VQ3D: Learning a 3D-Aware Generative Model on ImageNet
https://arxiv.org/abs/2302.06833
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[2503.21581] AlignDiff: Learning Physically-Grounded Camera Alignment via Diffusion
https://arxiv.org/abs/2503.21581
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[2406.05184] The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Be
https://arxiv.org/abs/2406.05184
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[2305.16321] Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
https://arxiv.org/abs/2305.16321
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[2012.05116] Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
https://arxiv.org/abs/2012.05116
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[2111.15121] Pyramid Adversarial Training Improves ViT Performance
https://arxiv.org/abs/2111.15121
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[2309.01858] Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Ima
https://arxiv.org/abs/2309.01858
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[2204.09222] K-LITE: Learning Transferable Visual Models with External Knowledge
https://arxiv.org/abs/2204.09222
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[2404.00126] Pseudoentanglement Ain't Cheap
https://arxiv.org/abs/2404.00126
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[2305.13409] Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates
https://arxiv.org/abs/2305.13409
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[2304.13915] Improved Stabilizer Estimation via Bell Difference Sampling
https://arxiv.org/abs/2304.13915
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[2102.10458] Efficient Tomography of Non-Interacting Fermion States
https://arxiv.org/abs/2102.10458
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[2404.03813] Agnostic Tomography of Stabilizer Product States
https://arxiv.org/abs/2404.03813
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[2209.14530] Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom
https://arxiv.org/abs/2209.14530
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[1609.05507] Computability Theory of Closed Timelike Curves
https://arxiv.org/abs/1609.05507
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[2209.11302] ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
https://arxiv.org/abs/2209.11302
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[2004.09095] The State and Fate of Linguistic Diversity and Inclusion in the NLP World
https://arxiv.org/abs/2004.09095
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[2109.04683] PIP: Physical Interaction Prediction via Mental Simulation with Span Selection
https://arxiv.org/abs/2109.04683
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