1-100 of about 3,480 matches for site:arxiv.org site:arxiv.org site:arxiv.org site:arxiv.org site:arxiv.org click to view
https://arxiv.org/abs/2412.07696
Inconsistencies for Robust View Synthesis, by Alex Trevithick and 11 other authors View PDF HTML (experimental) Abstract
https://arxiv.org/abs/2008.01815
Panoramas for View Synthesis, by Kai-En Lin and 8 other authors View PDF Abstract: We propose
https://arxiv.org/abs/2411.18613
2411.18613] CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models Happy Open Access Week from arXiv
https://arxiv.org/abs/2211.16991
Access Paper: View a PDF of the paper titled SparsePose: Sparse-View Camera Pose Regression and
https://arxiv.org/abs/2007.09529
2007.09529] Single View Metrology in the Wild Happy Open Access Week from arXiv! YOU make open
https://arxiv.org/abs/2312.06661
2312.06661] UpFusion: Novel View Diffusion from Unposed Sparse View Observations Skip to main content We gratefully acknowledge support
https://arxiv.org/abs/2312.06661
2312.06661] UpFusion: Novel View Diffusion from Unposed Sparse View Observations arXiv Is Hiring a DevOps Engineer Work on
https://arxiv.org/abs/2405.10314
2405.10314] CAT3D: Create Anything in 3D with Multi-View Diffusion Models Happy Open Access Week from arXiv! YOU
https://arxiv.org/abs/2405.14868
Extreme Monocular Dynamic Novel View Synthesis, by Basile Van Hoorick and 8 other authors View PDF HTML (experimental) Abstract
https://arxiv.org/abs/2410.01804
2410.01804] EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis Skip to main content We
https://arxiv.org/abs/2405.14871
Improved View-Dependent Appearance with Consistent Reflections, by Dor Verbin and 6 other authors View PDF Abstract: Neural Radiance
https://arxiv.org/abs/2304.02602
Access Paper: View a PDF of the paper titled Generative Novel View Synthesis with 3D-Aware
https://arxiv.org/abs/2405.14871
Improved View-Dependent Appearance with Consistent Reflections, by Dor Verbin and 6 other authors View PDF Abstract: Neural Radiance
https://arxiv.org/abs/2310.17994
2310.17994] ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image Skip to main content
https://arxiv.org/abs/2310.17994
2310.17994] ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image Skip to main content
[2007.09892] Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Image
https://arxiv.org/abs/2007.09892
2007.09892] Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images Happy Open Access Week from arXiv! YOU make open
https://arxiv.org/abs/2208.13196
paper titled Grounded Affordance from Exocentric View, by Hongchen Luo and 4 other authors View PDF TeX Source Other
https://arxiv.org/abs/2307.09555
2307.09555] Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction Happy Open Access Week
https://arxiv.org/abs/2311.06214
Model, by Jiahao Li and 9 other authors View PDF TeX Source Other Formats view license Current browse context
https://arxiv.org/abs/1905.10711
Xu and 4 other authors View PDF HTML (experimental) Abstract: Reconstructing 3D shapes from single-view images has been a
https://arxiv.org/abs/2410.17242
2410.17242] LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias Happy Open Access Week from arXiv
https://arxiv.org/abs/2309.03453
2309.03453] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image Happy Open Access Week from arXiv! YOU
https://arxiv.org/abs/2305.04926
Recovering 6D Poses from Sparse-view Observations, by Amy Lin and 3 other authors View PDF HTML (experimental) TeX
https://arxiv.org/abs/1703.02921
1703.02921] Transformation-Grounded Image Generation Network for Novel 3D View Synthesis Skip to main content We
https://arxiv.org/abs/1703.02921
1703.02921] Transformation-Grounded Image Generation Network for Novel 3D View Synthesis Skip to main content We
https://arxiv.org/abs/2407.17470
2407.17470] SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency Skip to main
https://arxiv.org/abs/2204.07286
2204.07286] Guided Co-Modulated GAN for 360° Field of View Extrapolation Skip to main
https://arxiv.org/abs/2304.02744
Suwajanakorn View a PDF of the paper titled StyleGAN Salon: Multi-View Latent Optimization for
https://arxiv.org/abs/2312.13252
2312.13252] Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model Skip to
https://arxiv.org/abs/2312.13328
2312.13328] NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis Skip to main
https://arxiv.org/abs/2403.20309
2403.20309] InstantSplat: Sparse-view Gaussian Splatting in Seconds Skip to main content We gratefully acknowledge support
https://arxiv.org/abs/2211.15662
GAN Inversion by Pseudo-multi-view Optimization, by Jiaxin Xie and 4 other authors View PDF TeX Source view
[2405.14847] Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeli
https://arxiv.org/abs/2405.14847
2405.14847] Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling Skip to main
https://arxiv.org/abs/2310.11448
Time 4D View Synthesis at 4K Resolution, by Zhen Xu and 7 other authors View PDF Abstract: This paper
https://arxiv.org/abs/2308.07903
2308.07903] Relightable and Animatable Neural Avatar from Sparse-View Video Skip to main content We gratefully
https://arxiv.org/abs/2309.03453
2309.03453] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image arXiv Is Hiring a DevOps
https://arxiv.org/abs/2311.09217
Paper: View a PDF of the paper titled DMV3D: Denoising Multi-View Diffusion using 3D Large
https://arxiv.org/abs/2310.11448
Time 4D View Synthesis at 4K Resolution, by Zhen Xu and 7 other authors View PDF Abstract: This paper
https://arxiv.org/abs/2308.07903
2308.07903] Relightable and Animatable Neural Avatar from Sparse-View Video Skip to main content We gratefully
https://arxiv.org/abs/2304.02602
Access Paper: View a PDF of the paper titled Generative Novel View Synthesis with 3D-Aware
https://arxiv.org/abs/2404.03656
2404.03656] MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation Skip to main content We gratefully
https://arxiv.org/abs/2404.03656
2404.03656] MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation Skip to main content We gratefully
https://arxiv.org/abs/2311.09217
Paper: View a PDF of the paper titled DMV3D: Denoising Multi-View Diffusion using 3D Large
https://arxiv.org/abs/2310.15110
2310.15110] Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model Skip to main
[2304.13681] Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Gener
https://arxiv.org/abs/2304.13681
2304.13681] Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation Skip to
https://arxiv.org/abs/2311.06214
Large Reconstruction Model, by Jiahao Li and 9 other authors View PDF TeX Source view license Current browse context
https://arxiv.org/abs/2003.12642
2003.12642] Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images Skip to main content
https://arxiv.org/abs/2103.15595
Radiance Field Reconstruction from Multi-View Stereo, by Anpei Chen and 5 other authors View PDF TeX Source Other
https://arxiv.org/abs/2012.09855
2012.09855] Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image Planned Database Maintenance
https://arxiv.org/abs/2310.15110
2310.15110] Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model Skip to main
https://arxiv.org/abs/2307.09555
2307.09555] Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction Skip to main
[2308.00129] Speech representation learning: Learning bidirectional encoders with single-view, multi
https://arxiv.org/abs/2308.00129
2308.00129] Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods Skip to
[2411.08753] Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-
https://arxiv.org/abs/2411.08753
2411.08753] Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional
[2304.06247] ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP
https://arxiv.org/abs/2304.06247
from real-world single-view RGB images. Instead of relying on laborious 3D, multi-view or camera pose annotation
https://arxiv.org/abs/2406.11819
MegaScenes: Scene-Level View Synthesis at Scale, by Joseph Tung and 7 other authors View PDF HTML (experimental) Abstract
https://arxiv.org/abs/2412.18565
Loy View a PDF of the paper titled 3DEnhancer: Consistent Multi-View Diffusion for 3D
https://arxiv.org/abs/2003.12642
2003.12642] Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images Skip to main content
[2405.14847] Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeli
https://arxiv.org/abs/2405.14847
Liwen Wu and 7 other authors View PDF HTML (experimental) TeX Source Other Formats view license Current browse context
https://arxiv.org/abs/2211.15662
GAN Inversion by Pseudo-multi-view Optimization, by Jiaxin Xie and 4 other authors View PDF TeX Source Other
https://arxiv.org/abs/2103.15595
Radiance Field Reconstruction from Multi-View Stereo, by Anpei Chen and 5 other authors View PDF TeX Source Other
[2304.13681] Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Gener
https://arxiv.org/abs/2304.13681
2304.13681] Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation Skip to
https://arxiv.org/abs/2402.05054
Paper: View a PDF of the paper titled LGM: Large Multi-View Gaussian Model for
[2405.12218] MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stere
https://arxiv.org/abs/2405.12218
Gaussian Splatting Reconstruction from Multi-View Stereo, by Tianqi Liu and 8 other authors View PDF HTML (experimental) Abstract
[2304.06247] ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP
https://arxiv.org/abs/2304.06247
from real-world single-view RGB images. Instead of relying on laborious 3D, multi-view or camera pose annotation
https://arxiv.org/abs/2306.13185
2306.13185] An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression Skip
https://arxiv.org/abs/2312.00109
2312.00109] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering Skip to main content We gratefully
https://arxiv.org/abs/2009.03298
2009.03298] Improved Modeling of 3D Shapes with Multi-view Depth Maps Skip to main content We
https://arxiv.org/abs/2301.08730
Grauman , Andrea Vedaldi View a PDF of the paper titled Novel-View Acoustic Synthesis, by Changan
https://arxiv.org/abs/2304.00673
2304.00673] Partial-View Object View Synthesis via Filtered Inversion Skip to main content We gratefully acknowledge support from
https://arxiv.org/abs/2405.18418
Humanoid Controllers Authors: Nicklas Hansen , Jyothir S V , Vlad Sobal , Yann LeCun , Xiaolong Wang , Hao Su View a PDF
https://arxiv.org/abs/2310.16828
Scalable, Robust World Models for Continuous Control Authors: Nicklas Hansen , Hao Su , Xiaolong Wang View a PDF
https://arxiv.org/abs/2412.13188
2412.13188] StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models Happy Open Access Week from arXiv! YOU make open access
https://arxiv.org/abs/2405.03659
Kaiwen Jiang and 6 other authors View PDF HTML (experimental) TeX Source Other Formats view license Current browse context
[2312.13980] Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL F
https://arxiv.org/abs/2312.13980
2312.13980] Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning Skip to main
https://arxiv.org/abs/2207.05736
2207.05736] Vision Transformer for NeRF-Based View Synthesis from a Single Input Image Skip to
https://arxiv.org/abs/2405.03659
Kaiwen Jiang and 6 other authors View PDF HTML (experimental) TeX Source Other Formats view license Current browse context
[2312.13980] Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL F
https://arxiv.org/abs/2312.13980
2312.13980] Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning Skip to main
https://arxiv.org/abs/2412.10209
2412.10209] GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion arXiv Is Hiring a DevOps Engineer
https://arxiv.org/abs/2203.09905
Affordance Grounding from Exocentric Images Authors: Hongchen Luo , Wei Zhai , Jing Zhang , Yang Cao , Dacheng Tao View a PDF
https://arxiv.org/abs/2301.08730
Grauman , Andrea Vedaldi View a PDF of the paper titled Novel-View Acoustic Synthesis, by Changan
[2203.17261] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Sy
https://arxiv.org/abs/2203.17261
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis Skip to
[2207.11148] InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single I
https://arxiv.org/abs/2207.11148
2207.11148] InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images Skip to main
https://arxiv.org/abs/2304.12317
4 other authors View PDF Abstract: We explore the task of embodied view synthesis from monocular videos
https://arxiv.org/abs/2304.12317
4 other authors View PDF Abstract: We explore the task of embodied view synthesis from monocular videos
https://arxiv.org/abs/2307.12067
2307.12067] Replay: Multi-modal Multi-view Acted Videos for Casual Holography Skip to main content We
[2304.03279] Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Beha
https://arxiv.org/abs/2304.03279
Andy Zou , Nathaniel Li , Steven Basart , Thomas Woodside , Jonathan Ng , Hanlin Zhang , Scott Emmons , Dan Hendrycks View a PDF
https://arxiv.org/abs/2310.01405
Wang , Alex Mallen , Steven Basart , Sanmi Koyejo , Dawn Song , Matt Fredrikson , J. Zico Kolter , Dan Hendrycks View a PDF
https://arxiv.org/abs/1908.08016
Xuwang Yin , Mantas Mazeika , Akul Arora , Adam Dziedzic , Franziska Boenisch , Tom Brown , Jacob Steinhardt , Dan Hendrycks View a PDF
https://arxiv.org/abs/2311.04235
Sarah Chen , Zifan Wang , Sizhe Chen , David Karamardian , Lulwa Aljeraisy , Basel Alomair , Dan Hendrycks , David Wagner View a PDF
https://arxiv.org/abs/2206.15474
Ryan Jia , Joe Kwon , Mantas Mazeika , Richard Li , Dawn Song , Jacob Steinhardt , Owain Evans , Dan Hendrycks View a PDF
https://arxiv.org/abs/1911.11132
Dan Hendrycks , Steven Basart , Mantas Mazeika , Andy Zou , Joe Kwon , Mohammadreza Mostajabi , Jacob Steinhardt , Dawn Song View a PDF
https://arxiv.org/abs/2112.05135
Measures Authors: Dan Hendrycks , Andy Zou , Mantas Mazeika , Leonard Tang , Bo Li , Dawn Song , Jacob Steinhardt View a PDF
https://arxiv.org/abs/2103.02597
3D Video Synthesis from Multi-view Video, by Tianye Li and 10 other authors View PDF Abstract: We propose
[2304.03279] Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Beha
https://arxiv.org/abs/2304.03279
Andy Zou , Nathaniel Li , Steven Basart , Thomas Woodside , Jonathan Ng , Hanlin Zhang , Scott Emmons , Dan Hendrycks View a PDF
https://arxiv.org/abs/2310.01405
Wang , Alex Mallen , Steven Basart , Sanmi Koyejo , Dawn Song , Matt Fredrikson , J. Zico Kolter , Dan Hendrycks View a PDF
https://arxiv.org/abs/1908.08016
Xuwang Yin , Mantas Mazeika , Akul Arora , Adam Dziedzic , Franziska Boenisch , Tom Brown , Jacob Steinhardt , Dan Hendrycks View a PDF
https://arxiv.org/abs/2206.15474
Ryan Jia , Joe Kwon , Mantas Mazeika , Richard Li , Dawn Song , Jacob Steinhardt , Owain Evans , Dan Hendrycks View a PDF
https://arxiv.org/abs/2411.00210
Images under Resource Constraints Authors: Shreelekha Revankar , Cheng Perng Phoo , Utkarsh Mall , Bharath Hariharan , Kavita Bala View a PDF
https://arxiv.org/abs/2411.00210
Images under Resource Constraints Authors: Shreelekha Revankar , Cheng Perng Phoo , Utkarsh Mall , Bharath Hariharan , Kavita Bala View a PDF
https://arxiv.org/abs/1805.09155
of Iowa, (2) Brave Software, (3) University of California Riverside, (4) Imperial College London) View a PDF