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libration errors improves nerf reconstruction quality your browser does not support the video tag dreamfusion text to 3d using 2d diffusion ben poole ajay jain jonathan t barron ben mildenhall iclr 2023 nbsp oral presentation outstanding paper award project page arxiv gallery we optimize a nerf from scratch using a pretrained text to image diffusion model to do text to 3d generative modeling learning a diffusion prior for nerfs guandao yang abhijit kundu leonidas j guibas jonathan t barron ben poole iclr workshop 2023 training a diffusion model on grid based nerfs lets you conditionally sample nerfs mira mental imagery for robotic affordances lin yen chen pete florence andy zeng jonathan t barron yilun du wei chiu ma anthony simeonov alberto rodriguez phillip isola corl 2022 nerf lets us synthesize novel orthographic views that work well with pixel wise algorithms for robotic manipulation samurai shape and material from unconstrained real world arbitrary image collections mark boss andreas engelhardt abhishek kar yuanzhen li deqing sun jonathan t barron hendrik p a lensch varun jampani neurips 2022 project page video arxiv a joint optimization framework for estimating shape brdf camera pose and illumination from in the wild image collections polynomial neural fields for subband decomposition guandao yang sagie benaim varun jampani kyle genova jonathan t barron thomas funkhouser bharath hariharan serge belongie neurips 2022 representing neural fields as a composition of manipulable and interpretable components lets you do things like reason about frequencies and scale fast and high quality image denoising via malleable convolutions yifan jiang bartlomiej wronski ben mildenhall jonathan t barron zhangyang wang tianfan xue eccv 2022 project page arxiv we denoise images efficiently by predicting spatially varying kernels at low resolution and using a fast fused op to jointly upsample and apply these kernels at full resolution your browser does not support the video tag nerf supervision learning dense object descriptors from neural radiance fields lin yen chen pete florence jonathan t barron tsung yi lin alberto rodriguez phillip isola icra 2022 project page arxiv video code colab nerf works better than rgb d cameras or multi view stereo when learning object descriptors your browser does not support the video tag ref nerf structured view dependent appearance for neural radiance fields dor verbin peter hedman ben mildenhall todd zickler jonathan t barron pratul srinivasan cvpr 2022 nbsp oral presentation best student paper honorable mention project page arxiv video explicitly modeling reflections in nerf produces realistic shiny surfaces and accurate surface normals and lets you edit materials your browser does not support the video tag mip nerf 360 unbounded anti aliased neural radiance fields jonathan t barron ben mildenhall dor verbin pratul srinivasan peter hedman cvpr 2022 nbsp oral presentation project page arxiv video mip nerf can be extended to produce realistic results on unbounded scenes your browser does not support the video tag nerf in the dark high dynamic range view synthesis from noisy raw images ben mildenhall peter hedman ricardo martin brualla pratul srinivasan jonathan t barron cvpr 2022 nbsp oral presentation project page arxiv video properly training nerf on raw camera data enables hdr view synthesis and bokeh and outperforms multi image denoising your browser does not support the video tag regnerf regularizing neural radiance fields for view synthesis from sparse inputs michael niemeyer jonathan t barron ben mildenhall mehdi s m sajjadi andreas geiger noha radwan cvpr 2022 nbsp oral presentation project page arxiv video regularizing unseen views during optimization enables view synthesis from as few as 3 input images your browser does not support the video tag block nerf scalable large scene neural view synthesis matthew tancik vincent casser xinchen yan sabeek pradhan ben mildenhall pratul srinivasan jonathan t barron henrik kretzschmar cvpr 2022 nbsp oral presentation project page arxiv video we can do city scale reconstruction by training multiple nerfs with millions of images your browser does not support the video tag humannerf free viewpoint rendering of moving people from monocular video chung yi weng brian curless pratul srinivasan jonathan t barron ira kemelmacher shlizerman cvpr 2022 nbsp oral presentation project page arxiv video combining nerf with pose estimation lets you use a monocular video to do free viewpoint rendering of a human your browser does not support the video tag urban radiance fields konstantinos rematas andrew liu pratul p srinivasan jonathan t barron andrea tagliasacchi tom funkhouser vittorio ferrari cvpr 2022 project page arxiv video incorporating lidar and explicitly modeling the sky lets you reconstruct urban environments dense depth priors for neural radiance fields from sparse input views barbara roessle jonathan t barron ben mildenhall pratul srinivasan matthias nießner cvpr 2022 arxiv video dense depth completion techniques applied to freely available sparse stereo data can improve nerf reconstructions in low data regimes your browser does not support the video tag zero shot text guided object generation with dream fields ajay jain ben mildenhall jonathan t barron pieter abbeel ben poole cvpr 2022 project page arxiv video supervising the clip embeddings of nerf renderings lets you to generate 3d objects from text prompts advances in neural rendering ayush tewari justus thies ben mildenhall pratul srinivasan edgar tretschk yifan wang christoph lassner vincent sitzmann ricardo martin brualla stephen lombardi tomas simon christian theobalt matthias niessner jonathan t barron gordon wetzstein michael zollhoefer vladislav golyanik state of the art report at eurographics 2022 a survey of recent progress in neural rendering neural pil neural pre integrated lighting for reflectance decomposition mark boss varun jampani raphael braun ce liu jonathan t barron hendrik p a lensch neurips 2021 project page video arxiv replacing a costly illumination integral with a simple network query enables more accurate novel view synthesis and relighting compared to nerd your browser does not support the video tag hypernerf a higher dimensional representation for topologically varying neural radiance fields keunhong park utkarsh sinha peter hedman jonathan t barron sofien bouaziz dan b goldman ricardo martin brualla steven m seitz siggraph asia 2021 project page arxiv applying ideas from level set methods to nerf lets you represent scenes that deform and change shape nerfactor neural factorization of shape and reflectance under an unknown illumination xiuming zhang pratul srinivasan boyang deng paul debevec william t freeman jonathan t barron siggraph asia 2021 project page arxiv video by placing priors on illumination and materials we can recover nerf like models of the intrinsics of a scene from a single multi image capture scalable font reconstruction with dual latent manifolds nikita srivatsan si wu jonathan t barron taylor berg kirkpatrick emnlp 2021 vaes can be used to disentangle a font s style from its content and to generalize to characters that were never observed during training your browser does not support the video tag mip nerf a multiscale representation for anti aliasing neural radiance fields jonathan t barron ben mildenhall matthew tancik peter hedman ricardo martin brualla pratul srinivasan iccv 2021 nbsp oral presentation best paper honorable mention project page arxiv video code nerf is aliased but we can anti alias it by casting cones and prefiltering the positional encoding function your browser does not support the video tag baking neural radiance fields for real time view synthesis peter hedman pratul srinivasan ben mildenhall jonathan t barron paul debevec iccv 2021 nbsp oral presentation project page arxiv video demo baking a trained nerf into a sparse voxel grid of colors and features lets you render it in real time in your browser your browser does not support the video tag nerfies deformable neural radiance fields keunhong park utkarsh sinha jonathan t barron sofien bouaziz dan b goldman steven m seitz ricardo martin brualla iccv 2021 nbsp oral presentation project page arxiv video building deformation fields into nerf lets you capture non rigid subjects like people cross camera convolutional color constancy mahmoud afifi jonathan t barron chloe legendre yun ta tsai francois bleibel iccv 2021 nbsp oral presentation with some extra unlabeled test set images you can build a hypernetwork that calibrates itself at test time to previously unseen cameras defocus map estimation and deblurring from a single dual pixel image shumian xin neal wadhwa tianfan xue jonathan t barron pratul srinivasan jiawen chen ioannis gkioulekas rahul garg iccv 2021 nbsp oral presentation project page code multiplane images can be used to simultaneously deblur dual pixel images despite variable defocus due to depth variation in the scene your browser does not support the video tag nerd neural reflectance decomposition from image collections mark boss raphael braun varun jampani jonathan t barron ce liu hendrik p a lensch iccv 2021 project page video code arxiv a nerf like model that can decompose and mesh objects with non lambertian reflectances complex geometry and unknown illumination how to train neural networks for flare removal yicheng wu qiurui he tianfan xue rahul garg jiawen chen ashok veeraraghavan jonathan t barron iccv 2021 project page arxiv simulating the optics of a camera s lens lets you train a model that removes lens flare from a single image your browser does not support the video tag inerf inverting neural radiance fields for pose estimation lin yen chen pete florence jonathan t barron alberto rodriguez phillip isola tsung yi lin iros 2021 project page arxiv video given an image of an object and a nerf of that object you can estimate that object s pose your browser does not support the video tag ibrnet learning multi view image based rendering qianqian wang zhicheng wang kyle genova pratul srinivasan howard zhou jonathan t barron ricardo martin brualla noah snavely thomas funkhouser cvpr 2021 project page code arxiv by learning how to pay attention to input images at render time we can amortize inference for view synthesis and reduce error rates by 15 your browser does not support the video tag nerv neural reflection and visibility fields for relighting and view synthesis pratul srinivasan boyang deng xiuming zhang matthew tancik ben mildenhall jonathan t barron cvpr 2021 project page video arxiv using neural approximations of expensive visibility integrals lets you recover relightable nerf like models your browser does not support the video tag learned initializations for optimizing coordinate based neural representations matthew tancik ben mildenhall terrance wang divi schmidt pratul srinivasan jonathan t barron ren ng cvpr 2021 nbsp oral presentation project page video arxiv using meta learning to find weight initializations for coordinate based mlps allows them to converge faster and generalize better your browser does not support the video tag nerf in the wild neural radiance fields for unconstrained photo collections ricardo martin brualla noha radwan mehdi s m sajjadi jonathan t barron alexey dosovitskiy daniel duckworth cvpr 2021 nbsp oral presentation project page arxiv video letting nerf reason about occluders and appearance variation produces photorealistic view synthesis using only unstructured internet photos learned dual view reflection removal simon niklaus xuaner cecilia zhang jonathan t barron neal wadhwa rahul garg feng liu tianfan xue wacv 2021 project page arxiv reflections and the things behind them often exhibit parallax and this lets you remove reflections from stereo pairs your browser does not support the video tag neural light transport for relighting and view synthesis xiuming zhang sean fanello yun ta tsai tiancheng sun tianfan xue rohit pandey sergio orts escolano philip davidson christoph rhemann paul debevec jonathan t barron ravi ramamoorthi william t freeman acm tog 2021 project page arxiv video embedding a convnet within a predefined texture atlas enables simultaneous view synthesis and relighting light stage super resolution continuous high frequency relighting tiancheng sun zexiang xu xiuming zhang sean fanello christoph rhemann paul debevec yun ta tsai jonathan t barron ravi ramamoorthi siggraph asia 2020 project page arxiv scans for light stages are inherently aliased but we can use learning to super resolve them fourier features let networks learn high frequency functions in low dimensional domains matthew tancik pratul srinivasan ben mildenhall sara fridovich keil nithin raghavan utkarsh singhal ravi ramamoorthi jonathan t barron ren ng neurips 2020 nbsp spotlight project page video 3 min 10 min arxiv code composing neural networks with a simple fourier feature mapping allows them to learn detailed high frequency functions a generalization of otsu s method and minimum error thresholding jonathan t barron eccv 2020 nbsp spotlight code video bibtex a simple and fast bayesian algorithm that can be written in 10 lines of code outperforms or matches giant cnns on image binarization and unifies three classic thresholding algorithms what matters in unsupervised optical flow rico jonschkowski austin stone jonathan t barron ariel gordon kurt konolige anelia angelova eccv 2020 nbsp oral presentation code extensive experimentation yields a simple optical flow technique that is trained on only unlabeled videos but still works as well as supervised techniques your browser does not support the video tag nerf representing scenes as neural radiance fields for view synthesis ben mildenhall pratul srinivasan matthew tancik jonathan t barron ravi ramamoorthi ren ng eccv 2020 nbsp oral presentation best paper honorable mention cacm research highlight project page arxiv talk video supp video code cacm foreward training a tiny non convolutional neural network to reproduce a scene using volume rendering achieves photorealistic view synthesis portrait shadow manipulation xuaner cecilia zhang jonathan t barron yun ta tsai rohit pandey xiuming zhang ren ng david e jacobs siggraph 2020 project page video networks can be trained to remove shadows cast on human faces and to soften harsh lighting learning to autofocus charles herrmann richard strong bowen neal wadhwa rahul garg qiurui he jonathan t barron ramin zabih cvpr 2020 project page arxiv machine learning can be used to train cameras to autofocus which is not the same problem as depth from defocus your browser does not support the video tag lighthouse predicting lighting volumes for spatially coherent illumination pratul srinivasan ben mildenhall matthew tancik jonathan t barron richard tucker noah snavely cvpr 2020 project page code arxiv video we predict a volume from an input stereo pair tha...
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