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Functions3,158 in github.com/baaivision/GeoDream

⨍ Functions 3,158◇ Types & classes 664↳ Endpoints 1
↓ 2 callersFunction_download_inception_model
()
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:595
↓ 2 callersFunction_get_1d_bounds
(arr)
threestudio/data/co3d.py:55
↓ 2 callersMethod_get_rows_from_list
(self, samples)
extern/ldm_zero123/models/diffusion/ddpm.py:550
↓ 2 callersMethod_get_rows_from_list
(self, samples)
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:429
↓ 2 callersMethod_load_im
(self, filename)
mv-diffusion/One-2-3-45-by-view/ldm/data/simple.py:164
↓ 2 callersMethod_sample
( self, pipe: StableDiffusionPipeline, sample_scheduler: DPMSolverMultistepScheduler,
threestudio/models/guidance/stable_diffusion_vsd_guidance.py:250
↓ 2 callersMethod_sample
( self, pipe: StableDiffusionPipeline, sample_scheduler: DPMSolverMultistepScheduler,
threestudio/models/guidance/sd_vsd_scale_guidance.py:258
↓ 2 callersFunction_ssim
(img1, img2, window, window_size, channel, mask=None, size_average=True)
extern/ldm_zero123/modules/evaluate/ssim.py:32
↓ 2 callersFunction_ssim
( img1, img2, window, window_size, channel, mask=None, size_average=True )
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/ssim.py:31
↓ 2 callersFunction_transform_stot
( transform_type: Literal["uniform", "lindisp"], s_vals: torch.Tensor, t_min: torch.Tensor, t_
threestudio/models/estimators.py:104
↓ 2 callersMethod_upsample_add
(self, x, y)
mv-diffusion/One-2-3-45-by-view/reconstruction/tsparse/modules.py:70
↓ 2 callersMethod_upsample_add
(self, x, y)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/featurenet.py:70
↓ 2 callersMethod_upsample_add
(self, x, y)
mv-diffusion/One-2-3-45/reconstruction/tsparse/modules.py:70
↓ 2 callersMethod_upsample_add
(self, x, y)
mv-diffusion/One-2-3-45/reconstruction/models/featurenet.py:70
↓ 2 callersMethod_validation_step
(self, batch, batch_idx, suffix="")
extern/ldm_zero123/models/autoencoder.py:200
↓ 2 callersMethod_validation_step
(self, batch, batch_idx, postfix="")
mv-diffusion/MVDream/mvdream/ldm/models/autoencoder.py:135
↓ 2 callersMethod_validation_step
(self, batch, batch_idx, suffix="")
mv-diffusion/One-2-3-45-by-view/ldm/models/autoencoder.py:170
↓ 2 callersFunctionadd_Gaussian_noise
(img, noise_level1=2, noise_level2=25)
extern/ldm_zero123/modules/image_degradation/bsrgan_light.py:390
↓ 2 callersFunctionadd_Gaussian_noise
(img, noise_level1=2, noise_level2=25)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan_light.py:373
↓ 2 callersFunctionadd_Poisson_noise
(img)
extern/ldm_zero123/modules/image_degradation/bsrgan.py:436
↓ 2 callersFunctionadd_Poisson_noise
(img)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan.py:404
↓ 2 callersMethodadd_extra
(self, k, v)
threestudio/models/mesh.py:28
↓ 2 callersFunctionadd_resize
(img, sf=4)
extern/ldm_zero123/modules/image_degradation/bsrgan.py:354
↓ 2 callersFunctionadd_resize
(img, sf=4)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan.py:339
↓ 2 callersFunctionadd_speckle_noise
(img, noise_level1=2, noise_level2=25)
extern/ldm_zero123/modules/image_degradation/bsrgan.py:412
↓ 2 callersFunctionadd_speckle_noise
(img, noise_level1=2, noise_level2=25)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan.py:386
↓ 2 callersMethodadjust_learning_rate
(self)
mv-diffusion/One-2-3-45-by-view/reconstruction/exp_runner_generic_blender_train.py:399
↓ 2 callersMethodadjust_learning_rate
(self)
mv-diffusion/One-2-3-45-by-view/reconstruction/exp_runner_generic_blender_val.py:406
↓ 2 callersMethodadjust_learning_rate
(self)
mv-diffusion/One-2-3-45/reconstruction/exp_runner_generic_blender_train.py:400
↓ 2 callersMethodadjust_learning_rate
(self)
mv-diffusion/One-2-3-45/reconstruction/exp_runner_generic_blender_val.py:405
↓ 2 callersFunctionalways
(val)
extern/ldm_zero123/modules/x_transformer.py:63
↓ 2 callersFunctionalways
(val)
mv-diffusion/One-2-3-45-by-view/ldm/modules/x_transformer.py:64
↓ 2 callersMethodapply_model
(self, x_noisy, t, cond, **kwargs)
mv-diffusion/MVDream/mvdream/ldm/interface.py:119
↓ 2 callersFunctionback_project_sparse_type
Unproject the image fetures to form a 3D (sparse) feature volume :param coords: coordinates of voxels, dim: (num of voxels, 4) (4 : batc
mv-diffusion/One-2-3-45-by-view/reconstruction/ops/back_project.py:5
↓ 2 callersFunctionback_project_sparse_type
Unproject the image fetures to form a 3D (sparse) feature volume :param coords: coordinates of voxels, dim: (num of voxels, 4) (4 : batc
mv-diffusion/One-2-3-45/reconstruction/ops/back_project.py:5
↓ 2 callersFunctionbicubic_degradation
Args: x: HxWxC image, [0, 1] sf: down-scale factor Return: bicubicly downsampled LR image
extern/ldm_zero123/modules/image_degradation/bsrgan_light.py:236
↓ 2 callersFunctionbicubic_degradation
Args: x: HxWxC image, [0, 1] sf: down-scale factor Return: bicubicly downsampled LR image
extern/ldm_zero123/modules/image_degradation/bsrgan.py:236
↓ 2 callersFunctionbicubic_degradation
Args: x: HxWxC image, [0, 1] sf: down-scale factor Return: bicubicly downsampled LR image
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan_light.py:228
↓ 2 callersFunctionbicubic_degradation
Args: x: HxWxC image, [0, 1] sf: down-scale factor Return: bicubicly downsampled LR image
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/bsrgan.py:228
↓ 2 callersFunctionbroadcast
(tensor, src=0)
threestudio/utils/misc.py:115
↓ 2 callersFunctioncalc_pose
(phis, thetas, size, radius = 1.2, device='cuda')
mv-diffusion/One-2-3-45/utils/utils.py:80
↓ 2 callersFunctioncam2pixel
Transform coordinates in the camera frame to the pixel frame. Args: cam_coords: pixel coordinates defined in the first camera coordinates
mv-diffusion/One-2-3-45-by-view/reconstruction/ops/back_project.py:89
↓ 2 callersFunctioncam2pixel
Transform coordinates in the camera frame to the pixel frame. Args: cam_coords: pixel coordinates defined in the first camera coordinates
mv-diffusion/One-2-3-45/reconstruction/ops/back_project.py:89
↓ 2 callersMethodcartesian_to_spherical
(self, xyz)
mv-diffusion/One-2-3-45-by-view/ldm/data/simple.py:248
↓ 2 callersFunctioncleanup_and_exit
()
gradio_app.py:501
↓ 2 callersMethodcompute_activations
Compute image features for downstream evals. :param batches: a iterator over NHWC numpy arrays in [0, 255]. :return: a tuple
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:170
↓ 2 callersMethodcompute_activations
Compute image features for downstream evals. :param batches: a iterator over NHWC numpy arrays in [0, 255]. :return: a tuple
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:163
↓ 2 callersFunctioncompute_stats
(feats: np.ndarray)
extern/ldm_zero123/modules/evaluate/torch_frechet_video_distance.py:36
↓ 2 callersFunctioncompute_stats
(feats: np.ndarray)
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/torch_frechet_video_distance.py:34
↓ 2 callersMethodcompute_z_diff
compute the depth difference of query pts projected on the image and the predicted depth values of the image :param xyz: [N_rays, n_
mv-diffusion/One-2-3-45-by-view/reconstruction/models/projector.py:65
↓ 2 callersMethodcompute_z_diff
compute the depth difference of query pts projected on the image and the predicted depth values of the image :param xyz: [N_rays, n_
mv-diffusion/One-2-3-45/reconstruction/models/projector.py:65
↓ 2 callersMethodconfigure_pipe_token_merging
(self, pipe: StableDiffusionPipeline)
threestudio/models/guidance/stable_diffusion_unified_guidance.py:270
↓ 2 callersMethodcontrolnet
(self)
threestudio/models/guidance/stable_diffusion_unified_guidance.py:230
↓ 2 callersFunctionconv_1x1_bn
( inp, oup, conv_layer=nn.Conv2d, norm_layer=nn.BatchNorm2d, nlin_layer=nn.ReLU )
threestudio/utils/GAN/mobilenet.py:23
↓ 2 callersFunctionconv_attn_to_linear
(checkpoint)
scripts/convert_zero123_to_diffusers.py:859
↓ 2 callersFunctionconvert_opengl_to_blender
(camera_matrix)
mv-diffusion/MVDream/mvdream/camera_utils.py:31
↓ 2 callersFunctionconvert_proj
(K, H, W, near, far)
threestudio/data/multiview.py:32
↓ 2 callersMethodcopy_to
(self, model)
mv-diffusion/One-2-3-45-by-view/ldm/modules/ema.py:46
↓ 2 callersFunctioncount_flops_attn
A counter for the `thop` package to count the operations in an attention operation. Meant to be used like: macs, params = thop.pr
extern/ldm_zero123/modules/diffusionmodules/openaimodel.py:343
↓ 2 callersFunctioncount_flops_attn
A counter for the `thop` package to count the operations in an attention operation. Meant to be used like: macs, params = thop.pr
mv-diffusion/MVDream/mvdream/ldm/modules/diffusionmodules/openaimodel.py:327
↓ 2 callersFunctioncount_flops_attn
A counter for the `thop` package to count the operations in an attention operation. Meant to be used like: macs, params = thop.pr
mv-diffusion/One-2-3-45-by-view/ldm/modules/diffusionmodules/openaimodel.py:328
↓ 2 callersFunctioncount_params
(model, verbose=False)
mv-diffusion/MVDream/mvdream/ldm/util.py:71
↓ 2 callersFunctioncreate_camera_to_world_matrix
(elevation, azimuth)
mv-diffusion/MVDream/mvdream/camera_utils.py:5
↓ 2 callersFunctioncubic
(x)
extern/ldm_zero123/modules/image_degradation/utils_image.py:760
↓ 2 callersFunctioncubic
(x)
mv-diffusion/One-2-3-45-by-view/ldm/modules/image_degradation/utils_image.py:700
↓ 2 callersFunctioncubic_interpolate_batch
one dimensional cubic interpolation :param p: [B, N, 4] (4) should be in order :param x: [B, N] :return:
mv-diffusion/One-2-3-45-by-view/reconstruction/ops/grid_sampler.py:297
↓ 2 callersFunctioncubic_interpolate_batch
one dimensional cubic interpolation :param p: [B, N, 4] (4) should be in order :param x: [B, N] :return:
mv-diffusion/One-2-3-45/reconstruction/ops/grid_sampler.py:297
↓ 2 callersFunctioncubic_interpolate_batch
one dimensional cubic interpolation :param p: [B, N, 4] (4) should be in order :param x: [B, N] :return:
threestudio/models/geometry/grid_sampler.py:297
↓ 2 callersMethoddecode
(self, text)
extern/ldm_zero123/modules/encoders/modules.py:173
↓ 2 callersMethoddecode
(self, z)
extern/ldm_zero123/models/autoencoder.py:388
↓ 2 callersMethoddecode
(self, text)
mv-diffusion/One-2-3-45-by-view/ldm/modules/encoders/modules.py:146
↓ 2 callersMethoddecode
(self, z)
mv-diffusion/One-2-3-45-by-view/ldm/models/autoencoder.py:330
↓ 2 callersMethoddelta_border
:param h: height :param w: width :return: normalized distance to image border, wtith min distance = 0 at border and
extern/ldm_zero123/models/diffusion/ddpm.py:799
↓ 2 callersMethoddelta_border
:param h: height :param w: width :return: normalized distance to image border, wtith min distance = 0 at border and
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:639
↓ 2 callersMethoddisable_unet_class_embedding
(self, unet: UNet2DConditionModel)
threestudio/models/guidance/stable_diffusion_vsd_guidance.py:445
↓ 2 callersMethoddisable_unet_class_embedding
(self, unet: UNet2DConditionModel)
threestudio/models/guidance/sd_vsd_scale_guidance.py:453
↓ 2 callersMethoddisable_unet_class_embedding
(self, unet: UNet2DConditionModel)
threestudio/models/guidance/stable_diffusion_unified_guidance.py:331
↓ 2 callersMethodema_scope
(self, context=None)
extern/ldm_zero123/models/autoencoder.py:72
↓ 2 callersMethodema_scope
(self, context=None)
extern/ldm_zero123/models/diffusion/ddpm.py:253
↓ 2 callersMethodema_scope
(self, context=None)
mv-diffusion/MVDream/mvdream/ldm/models/autoencoder.py:63
↓ 2 callersMethodema_scope
(self, context=None)
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:181
↓ 2 callersMethodencode
(self, x)
extern/ldm_zero123/models/autoencoder.py:106
↓ 2 callersMethodencode
(self, *args, **kwargs)
mv-diffusion/MVDream/mvdream/ldm/modules/encoders/modules.py:15
↓ 2 callersMethodencode
(self, x)
mv-diffusion/MVDream/mvdream/ldm/models/autoencoder.py:81
↓ 2 callersMethodencode_condition_image
(self, image: torch.Tensor)
mv-diffusion/zero123plus/diffusers-support/pipeline.py:322
↓ 2 callersMethodevaluate_pr
Evaluate precision and recall efficiently. :param features_1: [N1 x D] feature vectors for reference batch. :param radii_1:
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:370
↓ 2 callersMethodevaluate_pr
Evaluate precision and recall efficiently. :param features_1: [N1 x D] feature vectors for reference batch. :param radii_1:
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:347
↓ 2 callersFunctionexists
(x)
mv-diffusion/MVDream/mvdream/ldm/util.py:53
↓ 2 callersFunctionexists
(val)
threestudio/utils/GAN/attention.py:12
↓ 2 callersMethodfind_in_interval
(self, n)
extern/ldm_zero123/lr_scheduler.py:76
↓ 2 callersMethodfind_in_interval
(self, n)
mv-diffusion/One-2-3-45-by-view/ldm/lr_scheduler.py:52
↓ 2 callersMethodforward
(self, inputs)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/fields.py:74
↓ 2 callersMethodforward
(self, inputs)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/fields.py:140
↓ 2 callersMethodforward
(self, inputs)
mv-diffusion/One-2-3-45/reconstruction/models/fields.py:74
↓ 2 callersMethodforward
(self, inputs)
mv-diffusion/One-2-3-45/reconstruction/models/fields.py:140
↓ 2 callersMethodforward_control_unet
( self, latents: Float[Tensor, "..."], t: Float[Tensor, "..."], encoder_hidden
threestudio/models/guidance/controlnet_guidance.py:166
↓ 2 callersMethodforward_controlnet
( self, latents: Float[Tensor, "..."], t: Float[Tensor, "..."], image_cond: Fl
threestudio/models/guidance/controlnet_guidance.py:148
↓ 2 callersMethodforward_unet
( self, latents: Float[Tensor, "..."], t: Float[Tensor, "..."], encoder_hidden
threestudio/models/guidance/instructpix2pix_guidance.py:121
↓ 2 callersMethodfrechet_distance
Compute the Frechet distance between two sets of statistics.
extern/ldm_zero123/modules/evaluate/adm_evaluator.py:98
↓ 2 callersMethodfrechet_distance
Compute the Frechet distance between two sets of statistics.
mv-diffusion/One-2-3-45-by-view/ldm/modules/evaluate/adm_evaluator.py:93
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